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Lab vs Lab

Meta Superintelligence Labs vs Mistral AI.

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
Meta AIMistralEdge
Club Score71.659.1Meta AI
Best modelMuse WonderMistral Medium 3.5Meta AI
Top-3 average64.359.1Meta AI
Squad size52Meta AI
Cheapest capable ($/1M blended)2.00.3Mistral
Open-weight share %60100Mistral
Division titles00Draw

Price floor — cheapest capable model on three workloads

WorkloadMeta AIMistral
Chat assistant (1M in / 250K out)$2.31$0.30
Document analysis (5M in / 500K out)$8.38$1.05
Code generation (2M in / 1000K out)$6.75$0.90

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

CategoryMuse WonderMistral Medium 3.5Winner
League Score76.459.1Muse Wonder
Coding (SWE-bench %)—77.6—
Reasoning (GPQA %)———
Context (tokens)1048576256000Muse Wonder
Speed (tok/s)———
Price (blended $/1M)$8.00$3.00Mistral Medium 3.5 (cheaper)

Tale of the tape

SpecMuse WonderMistral Medium 3.5
MakerMetaMistral AI
ReleasedOct 12, 2026Apr 28, 2026
League Score7659
Context1,048,576 tokens256,000 tokens
Max output—32,000
$/1M input$4.00$1.50
$/1M output$20.00$7.50
WeightsClosedOpen
Speed——

Head-to-head benchmarks (shared only)

BenchmarkMuse WonderMistral Medium 3.5
No shared benchmark measurements yet — shown as not measured, never interpolated.

Cost at three workloads

WorkloadMuse WonderMistral Medium 3.5
Light — 1M in / 250K out$9.00$3.38
Standard — 10M in / 2.5M out$90.00$33.75
Long-context — 50M in / 5M out$300.00$112.50

The pick

Pick Muse Wonder if you want the higher overall League Score; you need the bigger context window.

Pick Mistral Medium 3.5 if you want the lower running cost; you want downloadable weights / self-hosting; coding is the priority.

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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