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Model Pareto

Mistral Large 3

Mistral AIOpen weightsmistral.ai ↗
Input
$0.50/M tok
Output
$1.50/M tok
Blended
$0.75/M tok · 3:1
Speed
77tok/s
Context
256Ktokens

Previous-generation open-weights flagship. Main release is FP8 (card: "FP8 on a single node of B200s or H200s"; BF16 provided "if needed").

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
8× B200 180GB
FP8 weights
Throughput
~20,662 tok/s
many requests batched
Price
$0.28–2.49 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~41 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (675B params, 41B active per token) + 25% KV-cache headroom ≈ 844 GB
  • 8× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~20,662 output tok/s aggregate at batch 591 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~207,439 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

~#18 of 19 (estimated)~47.5%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #17Muse Glimmer51.2%
  4. ~#18Mistral Large 3Estimated47.5%
  5. #18Nex-N2.5-Mini43.8%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~43.9%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28Mistral Large 3Estimated43.9%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
~last of 15 (estimated)below measured range (<41.1)
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #14GPT-6 Luna41.1
  4. ~#15Mistral Large 3Estimated<41.1
No published score — estimated from related benchmarks

Writing & chat

Vision

Hard reasoning

Agents