Claude 3.7 Sonnet
Proprietary CommercialDeveloped by Anthropic · Hybrid Reasoning Dense Transformer · Modalities: Text, Vision · Released 2025-02-24
What are the token costs and operational benchmarks for Claude 3.7 Sonnet?
Verified Capability Benchmarks
Composite Intelligence: 81.5/100Architectural & Production Profile
Anthropic's hybrid reasoning model combining instant conversational responses with controllable extended thinking budgets up to 64k tokens.
Full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics.
- Architecture
- Hybrid Reasoning Dense Transformer
- Modalities
- Text, Vision
- Max Output Tokens
- 64,000 tokens
- Blended Rate (3:1)
- $6.000 / 1M
Verified Cloud Inference Endpoints Hosting Claude 3.7 Sonnet
Compare latency, streaming speed, and token pricing across cloud API providers.
| Inference Provider | Role | Input / 1M | Output / 1M | Avg TTFT | Throughput |
|---|---|---|---|---|---|
| Anthropic Claude API → | Primary Host | $3.00 | $15.00 | 540ms | 72 tok/s |
| Anysphere Cursor Router → | Partner Endpoint | $3.00 | $15.00 | 555ms | 72 tok/s |
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Estimated Monthly Spend
$3.00/1M in · $15.00/1M out
Prompt Cache: $0.300/1M read · $3.75/1M write
$2.00/1M in · $10.00/1M out
Prompt Cache: $0.100/1M read · $0.50/1M write
Head-to-Head Comparisons Involving Claude 3.7 Sonnet (36)
Claude 3.7 Sonnet vs Gemini 4 Argon
Gemini 4 Argon delivers superior capability at a 33.3% lower cost, while Claude 3.7 Sonnet only leads in latency. Priced at $2.00/$10.00 per 1M tokens versus Claude's $3.00/$15.00, Gemini dominates SWE-bench Verified (84.5% vs. 70.3%), GPQA Diamond (93.8% vs. 78.5%), and throughput (115 vs. 72 tok/s). However, Claude hits a 540ms TTFT, 310ms faster.
Claude 3.7 Sonnet vs Claude 4.5 Sonnet
Claude 3.7 Sonnet and Claude 4.5 Sonnet share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 4.5 Sonnet delivers lower response latency at 380ms TTFT (160ms faster than Claude 3.7 Sonnet) with 84 vs. 72 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 84.2% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Claude Opus 5.5
Claude 3.7 Sonnet is 25.0% cheaper for input tokens ($3.00 vs. $4.00 per 1M tokens) and $15.00 vs. $20.00 for output tokens (1.3x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (140ms faster than Claude Opus 5.5) with 72 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 93.2% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 3.8 Flash
Gemini 3.8 Flash is 91.7% cheaper for input tokens ($0.25 vs. $3.00 per 1M tokens) and $1.50 vs. $15.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (435ms faster than Claude 3.7 Sonnet) with 210 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 68.5% for Gemini 3.8 Flash and 78.5% vs. 79.2% on GPQA Diamond.
Claude 3.7 Sonnet vs GPT-5
GPT-5 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (200ms faster than Claude 3.7 Sonnet) with 105 vs. 72 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 85.4% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs GPT-6 Astra
Claude 3.7 Sonnet is 70.0% cheaper for input tokens ($3.00 vs. $10.00 per 1M tokens) and $15.00 vs. $50.00 for output tokens (3.3x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (200ms faster than GPT-6 Astra) with 72 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 96.0% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs DeepSeek V4 Pro
DeepSeek V4 Pro is 56.0% cheaper for input tokens ($1.32 vs. $3.00 per 1M tokens) and $3.96 vs. $15.00 for output tokens (2.3x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (20ms faster than Claude 3.7 Sonnet) with 78 vs. 72 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 90.1% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs DeepSeek R1
DeepSeek R1 is 81.7% cheaper for input tokens ($0.55 vs. $3.00 per 1M tokens) and $2.19 vs. $15.00 for output tokens (5.5x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (910ms faster than DeepSeek R1) with 72 vs. 58 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 78.5% vs. 71.5% on GPQA Diamond.
Claude 3.7 Sonnet vs DeepSeek V4 Flash Vision (Exp)
DeepSeek V4 Flash Vision (Exp) dominates Claude 3.7 Sonnet in cost and capability. DeepSeek is 92.7% cheaper for input ($0.22 vs. $3.00) and costs $0.65 vs. $15.00 for output. It delivers a 310ms TTFT (230ms faster), 165 vs. 72 tok/s throughput, and leads on SWE-bench Verified (77.4% vs. 70.3%) and GPQA Diamond (91.3% vs. 78.5%).
Claude 3.7 Sonnet vs OpenAI o3
OpenAI o3 is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $8.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (610ms faster than OpenAI o3) with 72 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 87.7% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Claude 4 Opus
Claude 3.7 Sonnet is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $75.00 for output tokens (5.0x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (380ms faster than Claude 4 Opus) with 72 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 87.1% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 3.1 Pro
Gemini 3.1 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (120ms faster than Claude 3.7 Sonnet) with 98 vs. 72 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 82.4% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Grok 4
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.
Claude 3.7 Sonnet vs Llama 4 Maverick
Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (405ms faster than Claude 3.7 Sonnet) with 175 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 78.5% vs. 73.8% on GPQA Diamond.
Claude 3.7 Sonnet vs Qwen 3.8 Flash Next
Qwen 3.8 Flash Next is 94.7% cheaper for input tokens ($0.16 vs. $3.00 per 1M tokens) and $0.47 vs. $15.00 for output tokens (18.8x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (260ms faster than Claude 3.7 Sonnet) with 185 vs. 72 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 91.7% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is 97.5% cheaper for input tokens ($0.07 vs. $3.00 per 1M tokens) and $0.30 vs. $15.00 for output tokens (40.0x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (462ms faster than Claude 3.7 Sonnet) with 265 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 78.5% vs. 68.4% on GPQA Diamond.
Claude 3.7 Sonnet vs OpenAI o4-mini
OpenAI o4-mini is 63.3% cheaper for input tokens ($1.10 vs. $3.00 per 1M tokens) and $4.40 vs. $15.00 for output tokens (2.7x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (140ms faster than OpenAI o4-mini) with 72 vs. 125 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 78.5% vs. 81.4% on GPQA Diamond.
Claude 3.7 Sonnet vs DeepSeek V3
DeepSeek V3 is 95.3% cheaper for input tokens ($0.14 vs. $3.00 per 1M tokens) and $0.28 vs. $15.00 for output tokens (21.4x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (130ms faster than Claude 3.7 Sonnet) with 78 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 78.5% vs. 59.1% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemma 4 31B IT
Gemma 4 31B IT is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.36 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (425ms faster than Claude 3.7 Sonnet) with 155 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 78.5% vs. 71.2% on GPQA Diamond.
Claude 3.7 Sonnet vs OpenAI o3-mini
OpenAI o3-mini is 63.3% cheaper for input tokens ($1.10 vs. $3.00 per 1M tokens) and $4.40 vs. $15.00 for output tokens (2.7x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (410ms faster than OpenAI o3-mini) with 72 vs. 98 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 78.5% vs. 79.7% on GPQA Diamond.
Claude 3.7 Sonnet vs Claude 3.5 Haiku
Claude 3.5 Haiku is 73.3% cheaper for input tokens ($0.80 vs. $3.00 per 1M tokens) and $4.00 vs. $15.00 for output tokens (3.8x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (350ms faster than Claude 3.7 Sonnet) with 130 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 78.5% vs. 41.6% on GPQA Diamond.
Claude 3.7 Sonnet vs Claude 3.5 Sonnet
Claude 3.5 Sonnet and Claude 3.7 Sonnet share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (230ms faster than Claude 3.7 Sonnet) with 80 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 78.5% vs. 59.4% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 2.0 Flash
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (260ms faster than Claude 3.7 Sonnet) with 185 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 78.5% vs. 63.6% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 2.5 Flash
Gemini 2.5 Flash is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $2.50 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (430ms faster than Claude 3.7 Sonnet) with 180 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 78.5% vs. 70.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Gemini 2.5 Pro
Gemini 2.5 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (160ms faster than Gemini 2.5 Pro) with 72 vs. 80 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 78.5% vs. 74.0% on GPQA Diamond.
Claude 3.7 Sonnet vs GLM-5.3
GLM-5.3 is 88.3% cheaper for input tokens ($0.35 vs. $3.00 per 1M tokens) and $1.00 vs. $15.00 for output tokens (8.6x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (380ms faster than Claude 3.7 Sonnet) with 120 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 56.0% for GLM-5.3 and 78.5% vs. 67.0% on GPQA Diamond.
Claude 3.7 Sonnet vs GLM-5.3-Flash
GLM-5.3-Flash is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (450ms faster than Claude 3.7 Sonnet) with 175 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 52.8% for GLM-5.3-Flash and 78.5% vs. 63.5% on GPQA Diamond.
Claude 3.7 Sonnet vs GPT-4o
GPT-4o is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (260ms faster than Claude 3.7 Sonnet) with 100 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 48.0% for GPT-4o and 78.5% vs. 53.6% on GPQA Diamond.
Claude 3.7 Sonnet vs GPT-4o Mini
GPT-4o Mini is 95.0% cheaper for input tokens ($0.15 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (20.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (320ms faster than Claude 3.7 Sonnet) with 140 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 78.5% vs. 40.2% on GPQA Diamond.
Claude 3.7 Sonnet vs GPT-6.1 Sol
GPT-6.1 Sol is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, GPT-6.1 Sol delivers lower response latency at 520ms TTFT (20ms faster than Claude 3.7 Sonnet) with 135 vs. 72 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 92.4% vs. 78.5% on GPQA Diamond.
Claude 3.7 Sonnet vs Grok 3
Claude 3.7 Sonnet and Grok 3 share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (80ms faster than Grok 3) with 72 vs. 88 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 65.8% for Grok 3 and 78.5% vs. 84.6% on GPQA Diamond.
Claude 3.7 Sonnet vs Grok 3 Mini
Grok 3 Mini is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $1.20 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (390ms faster than Claude 3.7 Sonnet) with 160 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 78.5% vs. 68.0% on GPQA Diamond.
Claude 3.7 Sonnet vs Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.30 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, Llama 3.3 70B Instruct delivers lower response latency at 145ms TTFT (395ms faster than Claude 3.7 Sonnet) with 165 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 78.5% vs. 55.6% on GPQA Diamond.
Claude 3.7 Sonnet vs Mistral Large 2 (2411)
Mistral Large 2 (2411) is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $6.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (160ms faster than Claude 3.7 Sonnet) with 75 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 78.5% vs. 54.2% on GPQA Diamond.
Claude 3.7 Sonnet vs o1
Claude 3.7 Sonnet is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $60.00 for output tokens (5.0x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (2060ms faster than o1) with 72 vs. 48 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 48.9% for o1 and 78.5% vs. 78.0% on GPQA Diamond.
Claude 3.7 Sonnet vs Qwen 3.8 27B
Qwen 3.8 27B is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Qwen 3.8 27B delivers lower response latency at 120ms TTFT (420ms faster than Claude 3.7 Sonnet) with 140 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 78.5% vs. 68.0% on GPQA Diamond.
Frequently Asked Questions & Query Fan-Out
How much does Claude 3.7 Sonnet cost per 1M tokens including prompt caching?
Claude 3.7 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens. Cached input reads cost $0.300 per 1M tokens, reducing repeated context costs by 90%.
What are Claude 3.7 Sonnet's coding and reasoning benchmark scores?
Claude 3.7 Sonnet achieves 70.3% on SWE-bench Verified, 93.5% on HumanEval coding, 78.5% on GPQA Diamond graduate-level science, 88% on MMLU-Pro, and 96.2% on MATH-500, earning an overall Inference Value Ratio (IVR) of 54.3/100.
What is the context window, TTFT latency, and token throughput of Claude 3.7 Sonnet?
Claude 3.7 Sonnet supports a 204,800 token context window (64,000 max output tokens) and operates at 540ms average Time to First Token (TTFT) with 72 tokens/sec output streaming throughput.
What are the primary production use cases for Claude 3.7 Sonnet?
Full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics.