What are the token costs and operational benchmarks for Grok 4?

Grok 4 (xAI) is priced at $2.50 per 1M input tokens and $12.50 per 1M output tokens (with prompt cache reads at $0.500/1M tokens). Built on a Colossus Sparse MoE with Real-Time Reasoning architecture with a 262.144k token context window, it delivers 480ms TTFT latency at 95 tokens per sec and scores 73.2% on SWE-bench Verified, 86.2% on GPQA Diamond, 89.9% on MMLU-Pro, and 97.6% on MATH-500 (57.6 IVR).
Verified daily via automated API latency tests and official documentation.
Input / 1M $2.50
Output / 1M $12.50
Cache Read / 1M $0.500
Context Limit 262.144k
TTFT Latency 480ms
Throughput 95 t/s
SWE-bench 73.2%
GPQA Diamond 86.2%

Verified Capability Benchmarks

Composite Intelligence: 84.9/100
SWE-bench Verified
73.2%
GPQA Diamond
86.2%
MMLU-Pro
89.9%
MATH-500
97.6%
HumanEval Coding
95%

Architectural & Production Profile

xAI's flagship reasoning model trained on the 200k-GPU Colossus cluster, excelling at graduate-level science, code synthesis, and live web telemetry.

Optimal Production Workloads

Real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation.

Architecture
Colossus Sparse MoE with Real-Time Reasoning
Modalities
Text, Vision, Real-Time Search
Max Output Tokens
65,536 tokens
Blended Rate (3:1)
$5.000 / 1M

Verified Cloud Inference Endpoints Hosting Grok 4

Compare latency, streaming speed, and token pricing across cloud API providers.

All Cloud Providers →
Inference Provider Role Input / 1M Output / 1M Avg TTFT Throughput
xAI Colossus API → Primary Host $2.50 $12.50 480ms 95 tok/s
Anysphere Cursor Router → Partner Endpoint $2.50 $12.50 495ms 95 tok/s

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Gemini 4 Argon $76.25

$2.00/1M in · $10.00/1M out

Prompt Cache: $0.100/1M read · $0.50/1M write

Projected Monthly Cost Reduction
$23.75 / mo
(23.8% lower cost with Gemini 4 Argon)
Open Full Matchup Analysis →

Head-to-Head Comparisons Involving Grok 4 (36)

Versus Comparison →

Grok 4 vs Gemini 4 Argon

Gemini 4 Argon is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $10.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (370ms faster than Gemini 4 Argon) with 95 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 73.2% for Grok 4 and 93.8% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude 4.5 Sonnet

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Claude 4.5 Sonnet delivers lower response latency at 380ms TTFT (100ms faster than Grok 4) with 84 vs. 95 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 73.2% for Grok 4 and 84.2% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude Opus 5.5

Grok 4 is 37.5% cheaper for input tokens ($2.50 vs. $4.00 per 1M tokens) and $12.50 vs. $20.00 for output tokens (1.6x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (200ms faster than Claude Opus 5.5) with 95 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 73.2% for Grok 4 and 93.2% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 3.8 Flash

Gemini 3.8 Flash is 90.0% cheaper for input tokens ($0.25 vs. $2.50 per 1M tokens) and $1.50 vs. $12.50 for output tokens (10.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (375ms faster than Grok 4) with 210 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 68.5% for Gemini 3.8 Flash and 86.2% vs. 79.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GPT-5

GPT-5 and Grok 4 share identical input pricing at $2.50 per 1M tokens ($10.00 vs. $12.50 output). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (140ms faster than Grok 4) with 105 vs. 95 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 73.2% for Grok 4 and 85.4% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GPT-6 Astra

Grok 4 is 75.0% cheaper for input tokens ($2.50 vs. $10.00 per 1M tokens) and $12.50 vs. $50.00 for output tokens (4.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (260ms faster than GPT-6 Astra) with 95 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 73.2% for Grok 4 and 96.0% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs DeepSeek V4 Pro

DeepSeek V4 Pro is 47.2% cheaper for input tokens ($1.32 vs. $2.50 per 1M tokens) and $3.96 vs. $12.50 for output tokens (1.9x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (40ms faster than DeepSeek V4 Pro) with 95 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 73.2% for Grok 4 and 90.1% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs DeepSeek R1

DeepSeek R1 is 78.0% cheaper for input tokens ($0.55 vs. $2.50 per 1M tokens) and $2.19 vs. $12.50 for output tokens (4.5x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (970ms faster than DeepSeek R1) with 95 vs. 58 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 86.2% vs. 71.5% on GPQA Diamond.

Versus Comparison →

Grok 4 vs DeepSeek V4 Flash Vision (Exp)

DeepSeek V4 Flash Vision (Exp) is 91.2% cheaper for input tokens ($0.22 vs. $2.50 per 1M tokens) and $0.65 vs. $12.50 for output tokens (11.4x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (170ms faster than Grok 4) with 165 vs. 95 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 73.2% for Grok 4 and 91.3% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs OpenAI o3

OpenAI o3 is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $8.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (670ms faster than OpenAI o3) with 95 vs. 82 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 71.7% for OpenAI o3 and 86.2% vs. 87.7% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude 4 Opus

Grok 4 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $12.50 vs. $75.00 for output tokens (6.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (440ms faster than Claude 4 Opus) with 95 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 73.2% for Grok 4 and 87.1% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude 3.7 Sonnet

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (60ms faster than Claude 3.7 Sonnet) with 95 vs. 72 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 86.2% vs. 78.5% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 3.1 Pro

Gemini 3.1 Pro is 50.0% cheaper for input tokens ($1.25 vs. $2.50 per 1M tokens) and $10.00 vs. $12.50 for output tokens (2.0x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (60ms faster than Grok 4) with 98 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 71.8% for Gemini 3.1 Pro and 86.2% vs. 82.4% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Llama 4 Maverick

Llama 4 Maverick is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $12.50 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (345ms faster than Grok 4) with 175 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 86.2% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Qwen 3.8 Flash Next

Qwen 3.8 Flash Next is 93.6% cheaper for input tokens ($0.16 vs. $2.50 per 1M tokens) and $0.47 vs. $12.50 for output tokens (15.6x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (200ms faster than Grok 4) with 185 vs. 95 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 73.2% for Grok 4 and 91.7% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is 97.0% cheaper for input tokens ($0.07 vs. $2.50 per 1M tokens) and $0.30 vs. $12.50 for output tokens (33.3x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (402ms faster than Grok 4) with 265 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 86.2% vs. 68.4% on GPQA Diamond.

Versus Comparison →

Grok 4 vs OpenAI o4-mini

OpenAI o4-mini is 56.0% cheaper for input tokens ($1.10 vs. $2.50 per 1M tokens) and $4.40 vs. $12.50 for output tokens (2.3x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (200ms faster than OpenAI o4-mini) with 95 vs. 125 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 86.2% vs. 81.4% on GPQA Diamond.

Versus Comparison →

Grok 4 vs DeepSeek V3

DeepSeek V3 is 94.4% cheaper for input tokens ($0.14 vs. $2.50 per 1M tokens) and $0.28 vs. $12.50 for output tokens (17.9x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (70ms faster than Grok 4) with 78 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 86.2% vs. 59.1% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemma 4 31B IT

Gemma 4 31B IT is 95.2% cheaper for input tokens ($0.12 vs. $2.50 per 1M tokens) and $0.36 vs. $12.50 for output tokens (20.8x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (365ms faster than Grok 4) with 155 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 86.2% vs. 71.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs OpenAI o3-mini

OpenAI o3-mini is 56.0% cheaper for input tokens ($1.10 vs. $2.50 per 1M tokens) and $4.40 vs. $12.50 for output tokens (2.3x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (470ms faster than OpenAI o3-mini) with 95 vs. 98 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 86.2% vs. 79.7% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude 3.5 Haiku

Claude 3.5 Haiku is 68.0% cheaper for input tokens ($0.80 vs. $2.50 per 1M tokens) and $4.00 vs. $12.50 for output tokens (3.1x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (290ms faster than Grok 4) with 130 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 86.2% vs. 41.6% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Claude 3.5 Sonnet

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (170ms faster than Grok 4) with 80 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 86.2% vs. 59.4% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 2.0 Flash

Gemini 2.0 Flash is 96.0% cheaper for input tokens ($0.10 vs. $2.50 per 1M tokens) and $0.40 vs. $12.50 for output tokens (25.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (200ms faster than Grok 4) with 185 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 86.2% vs. 63.6% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 2.5 Flash

Gemini 2.5 Flash is 88.0% cheaper for input tokens ($0.30 vs. $2.50 per 1M tokens) and $2.50 vs. $12.50 for output tokens (8.3x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (370ms faster than Grok 4) with 180 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 86.2% vs. 70.5% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Gemini 2.5 Pro

Gemini 2.5 Pro is 50.0% cheaper for input tokens ($1.25 vs. $2.50 per 1M tokens) and $10.00 vs. $12.50 for output tokens (2.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (220ms faster than Gemini 2.5 Pro) with 95 vs. 80 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 86.2% vs. 74.0% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GLM-5.3-Flash

GLM-5.3-Flash is 95.2% cheaper for input tokens ($0.12 vs. $2.50 per 1M tokens) and $0.40 vs. $12.50 for output tokens (20.8x cost advantage). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (390ms faster than Grok 4) with 175 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 52.8% for GLM-5.3-Flash and 86.2% vs. 63.5% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GLM-5.3

GLM-5.3 is 86.0% cheaper for input tokens ($0.35 vs. $2.50 per 1M tokens) and $1.00 vs. $12.50 for output tokens (7.1x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (320ms faster than Grok 4) with 120 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 56.0% for GLM-5.3 and 86.2% vs. 67.0% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GPT-4o Mini

GPT-4o Mini is 94.0% cheaper for input tokens ($0.15 vs. $2.50 per 1M tokens) and $0.60 vs. $12.50 for output tokens (16.7x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (260ms faster than Grok 4) with 140 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 86.2% vs. 40.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GPT-4o

GPT-4o and Grok 4 share identical input pricing at $2.50 per 1M tokens ($10.00 vs. $12.50 output). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (200ms faster than Grok 4) with 100 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 48.0% for GPT-4o and 86.2% vs. 53.6% on GPQA Diamond.

Versus Comparison →

Grok 4 vs GPT-6.1 Sol

GPT-6.1 Sol is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $10.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (40ms faster than GPT-6.1 Sol) with 95 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 73.2% for Grok 4 and 92.4% vs. 86.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Grok 3 Mini

Grok 3 Mini is 88.0% cheaper for input tokens ($0.30 vs. $2.50 per 1M tokens) and $1.20 vs. $12.50 for output tokens (8.3x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (330ms faster than Grok 4) with 160 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 86.2% vs. 68.0% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Grok 3

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (140ms faster than Grok 3) with 95 vs. 88 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 65.8% for Grok 3 and 86.2% vs. 84.6% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is 95.2% cheaper for input tokens ($0.12 vs. $2.50 per 1M tokens) and $0.30 vs. $12.50 for output tokens (20.8x cost advantage). In terms of operational performance, Llama 3.3 70B Instruct delivers lower response latency at 145ms TTFT (335ms faster than Grok 4) with 165 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 86.2% vs. 55.6% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Mistral Large 2 (2411)

Mistral Large 2 (2411) is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $6.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (100ms faster than Grok 4) with 75 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 86.2% vs. 54.2% on GPQA Diamond.

Versus Comparison →

Grok 4 vs o1

Grok 4 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $12.50 vs. $60.00 for output tokens (6.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (2120ms faster than o1) with 95 vs. 48 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 48.9% for o1 and 86.2% vs. 78.0% on GPQA Diamond.

Versus Comparison →

Grok 4 vs Qwen 3.8 27B

Qwen 3.8 27B is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $12.50 for output tokens (12.5x cost advantage). In terms of operational performance, Qwen 3.8 27B delivers lower response latency at 120ms TTFT (360ms faster than Grok 4) with 140 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 86.2% vs. 68.0% on GPQA Diamond.

Frequently Asked Questions & Query Fan-Out

How much does Grok 4 cost per 1M tokens including prompt caching?

Grok 4 costs $2.50 per million input tokens and $12.50 per million output tokens. Cached input reads cost $0.500 per 1M tokens, reducing repeated context costs by 80%.

What are Grok 4's coding and reasoning benchmark scores?

Grok 4 achieves 73.2% on SWE-bench Verified, 95% on HumanEval coding, 86.2% on GPQA Diamond graduate-level science, 89.9% on MMLU-Pro, and 97.6% on MATH-500, earning an overall Inference Value Ratio (IVR) of 57.6/100.

What is the context window, TTFT latency, and token throughput of Grok 4?

Grok 4 supports a 262,144 token context window (65,536 max output tokens) and operates at 480ms average Time to First Token (TTFT) with 95 tokens/sec output streaming throughput.

What are the primary production use cases for Grok 4?

Real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation.