💰 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 DeepSeek V4 Flash Vision (Exp) 91.3% GPQA · 96.4% MATH-500

Which model is better: DeepSeek V4 Flash Vision (Exp) or Mistral Large 2 (2411)?

DeepSeek V4 Flash Vision (Exp) is 89.0% cheaper for input tokens ($0.22 vs. $2.00 per 1M tokens) and $0.65 vs. $6.00 for output tokens (9.1x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (70ms faster than Mistral Large 2 (2411)) with 165 vs. 75 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 91.3% vs. 54.2% 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) Mistral Large 2 (2411) Net Delta / Advantage
Input Cost / 1M Tokens $0.22 $2.00 DeepSeek V4 Flash Vision (Exp) is 9.1x cheaper
Output Cost / 1M Tokens $0.65 $6.00 DeepSeek V4 Flash Vision (Exp) (89.2% lower)
Prompt Cache Read / 1M $0.007 $0.200 DeepSeek V4 Flash Vision (Exp) is 29.0x cheaper
Prompt Cache Write / 1M $0.22 $2.00 DeepSeek V4 Flash Vision (Exp) is 9.1x cheaper
Context Window (Max Output) 1,049k (128k out) 131k (8k out) DeepSeek V4 Flash Vision (Exp) (8.0x larger context)
Avg TTFT Response Latency 310ms 380ms DeepSeek V4 Flash Vision (Exp) (70ms faster)
Generation Speed (Throughput) 165 tok/s 75 tok/s DeepSeek V4 Flash Vision (Exp) (+90 tok/s faster)
SWE-bench Verified (Coding) 77.4% 45.2% DeepSeek V4 Flash Vision (Exp) (+32.2% lead)
GPQA Diamond (PhD STEM) 91.3% 54.2% DeepSeek V4 Flash Vision (Exp) (+37.1% lead)
MMLU-Pro (Multi-Discipline) 87.3% 74.8% DeepSeek V4 Flash Vision (Exp) (+12.5% lead)
MATH-500 (Quantitative Logic) 96.4% 76.5% DeepSeek V4 Flash Vision (Exp) (+19.9% lead)
Inference Value Score (IVR) 81.6 / 100 50.1 / 100 DeepSeek V4 Flash Vision (Exp) (+31.5 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

Mistral Large 2 (2411) $57.50

$2.00/1M in · $6.00/1M out

Prompt Cache: $0.200/1M read · $2.00/1M write

Projected Monthly Cost Reduction
$51.41 / mo
(89.4% 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 Mistral Large 2 (2411)

Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: DeepSeek V4 Flash Vision (Exp) or Mistral Large 2 (2411)?

DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $2.00/1M input ($6.00/1M output) for Mistral Large 2 (2411).

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or Mistral Large 2 (2411)?

DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).

How do DeepSeek V4 Flash Vision (Exp) and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 54.2% for Mistral Large 2 (2411) (and 96.4% vs 76.5% 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 Mistral Large 2 (2411)?

Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).

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