Compare · ModelsLive · 2 picked · head to head
Mistral Large vs Mixtral 8x7B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Mistral Large wins on 3/4 benchmarks
Mistral Large wins 3 of 4 shared benchmarks. Leads in general · knowledge · math.
Category leads
general·Mistral Largeknowledge·Mistral Largemath·Mistral Large
Hype vs Reality
Attention vs performance
Mistral Large
#185 by perf·#19 by attention
Mixtral 8x7B
#85 by perf·no signal
Vendor risk
Who is behind the model
Mistral AI
$14.0B·Tier 1
Mistral AI
$14.0B·Tier 1
Head to head
4 benchmarks · 2 models
Mistral LargeMixtral 8x7B
Dtbench
Mistral Large leads by +10.5
Mistral Large
26.5
Mixtral 8x7B
16.0
GPQA diamond
Mistral Large leads by +10.9
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Mistral Large
18.4
Mixtral 8x7B
7.5
MATH level 5
Mistral Large leads by +14.5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Mistral Large
24.5
Mixtral 8x7B
9.9
MMLU
Mixtral 8x7B leads by +2.4
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Mistral Large
58.4
Mixtral 8x7B
60.8
Full benchmark table
| Benchmark | Mistral Large | Mixtral 8x7B |
|---|---|---|
Dtbench | 26.5 | 16.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 18.4 | 7.5 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 24.5 | 9.9 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 58.4 | 60.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $6.00 | 128K tokens (~64 books) | $30.00 | |
| — | — | — | — |