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Lab vs Lab

Mistral AI vs DeepSeek.

The club-level face-off: Club Scores, best models, squad depth, division titles and the price floor — every number computed from the model database.

Club face-off
MistralDeepSeekEdge
Club Score59.173.0DeepSeek
Best modelMistral Medium 3.5DeepSeek V4.1 FlashDeepSeek
Top-3 average59.169.3DeepSeek
Squad size22Draw
Cheapest capable ($/1M blended)0.30.5Mistral
Open-weight share %100100Draw
Division titles01DeepSeek

DeepSeek holds the #1 model in: Open-Weight Division.

Price floor — cheapest capable model on three workloads

WorkloadMistralDeepSeek
Chat assistant (1M in / 250K out)$0.30$0.60
Document analysis (5M in / 500K out)$1.05$2.10
Code generation (2M in / 1000K out)$0.90$1.80

Best vs best

League fixture: The two clubs' #1 models, head-to-head. In Season Zero, fixture results are decided by the data — the category winners above. When voted fixtures launch, results blend 60% benchmark / 40% crowd per the published rulebook.

Verdict by category

CategoryMistral Medium 3.5DeepSeek V4.1 FlashWinner
League Score59.175.4DeepSeek V4.1 Flash
Coding (SWE-bench %)77.6——
Reasoning (GPQA %)—90.9—
Context (tokens)2560001000000DeepSeek V4.1 Flash
Speed (tok/s)—213—
Price (blended $/1M)$3.00$0.52DeepSeek V4.1 Flash (cheaper)

Tale of the tape

SpecMistral Medium 3.5DeepSeek V4.1 Flash
MakerMistral AIDeepSeek
ReleasedApr 28, 2026Sep 10, 2026
League Score5975
Context256,000 tokens1,000,000 tokens
Max output32,000384,000
$/1M input$1.50$0.30
$/1M output$7.50$1.20
WeightsOpenOpen
Speed—213 t/s

Head-to-head benchmarks (shared only)

BenchmarkMistral Medium 3.5DeepSeek V4.1 Flash
No shared benchmark measurements yet — shown as not measured, never interpolated.

Cost at three workloads

WorkloadMistral Medium 3.5DeepSeek V4.1 Flash
Light — 1M in / 250K out$3.38$0.60
Standard — 10M in / 2.5M out$33.75$6.00
Long-context — 50M in / 5M out$112.50$21.00

The pick

Pick Mistral Medium 3.5 if coding is the priority.

Pick DeepSeek V4.1 Flash if you want the higher overall League Score; you need the bigger context window; you want the lower running cost.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

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