💰 Unit Cost Winner DeepSeek V4 Flash Vision (Exp) $0.22/1M in · $0.65/1M out
⚡ Latency & Speed Winner DeepSeek V4 Flash Vision (Exp) 310ms TTFT · 165 tok/s
💻 Coding (SWE) Winner DeepSeek V4 Flash Vision (Exp) 77.4% SWE-bench · 94.5% HumanEval
🧠 STEM Reasoning Winner GPT-6 Astra 96% GPQA · 98% MATH-500

Which model is better: DeepSeek V4 Flash Vision (Exp) or GPT-6 Astra?

DeepSeek V4 Flash Vision (Exp) is 97.8% cheaper for input tokens ($0.22 vs. $10.00 per 1M tokens) and $0.65 vs. $50.00 for output tokens (45.5x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (430ms faster than GPT-6 Astra) with 165 vs. 74 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 91.3% vs. 96.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension DeepSeek V4 Flash Vision (Exp) GPT-6 Astra Net Delta / Advantage
Input Cost / 1M Tokens $0.22 $10.00 DeepSeek V4 Flash Vision (Exp) is 45.5x cheaper
Output Cost / 1M Tokens $0.65 $50.00 DeepSeek V4 Flash Vision (Exp) (98.7% lower)
Prompt Cache Read / 1M $0.007 $1.000 DeepSeek V4 Flash Vision (Exp) is 144.9x cheaper
Prompt Cache Write / 1M $0.22 $12.50 DeepSeek V4 Flash Vision (Exp) is 56.8x cheaper
Context Window (Max Output) 1,049k (128k out) 1,075k (128k out) GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency 310ms 740ms DeepSeek V4 Flash Vision (Exp) (430ms faster)
Generation Speed (Throughput) 165 tok/s 74 tok/s DeepSeek V4 Flash Vision (Exp) (+91 tok/s faster)
SWE-bench Verified (Coding) 77.4% 75.7% DeepSeek V4 Flash Vision (Exp) (+1.7% lead)
GPQA Diamond (PhD STEM) 91.3% 96% GPT-6 Astra (+4.7% lead)
MMLU-Pro (Multi-Discipline) 87.3% 91.2% GPT-6 Astra (+3.9% lead)
MATH-500 (Quantitative Logic) 96.4% 98% GPT-6 Astra (+1.6% lead)
Inference Value Score (IVR) 81.6 / 100 47.6 / 100 DeepSeek V4 Flash Vision (Exp) (+34 pts)

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

DeepSeek V4 Flash Vision (Exp) $6.09

$0.22/1M in · $0.65/1M out

Prompt Cache: $0.007/1M read · $0.22/1M write

GPT-6 Astra $387.50

$10.00/1M in · $50.00/1M out

Prompt Cache: $1.000/1M read · $12.50/1M write

Projected Monthly Cost Reduction
$381.41 / mo
(98.4% lower cost with DeepSeek V4 Flash Vision (Exp))
Open Full Matchup Analysis →
A

When to Choose DeepSeek V4 Flash Vision (Exp)

Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).

B

When to Choose GPT-6 Astra

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: DeepSeek V4 Flash Vision (Exp) or GPT-6 Astra?

DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or GPT-6 Astra?

DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.

How do DeepSeek V4 Flash Vision (Exp) and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 96% for GPT-6 Astra (and 96.4% vs 98% on MATH-500).

When should you choose DeepSeek V4 Flash Vision (Exp)?

Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).

When should you choose GPT-6 Astra?

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Explore High-Priority Related Model Matchups