Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

Mistral Large 3 vs Llama 3.1 405B

Mistral vs Meta · Prices checked 12 August 2026

Both price out at $0.800 per million tokens blended, making this a capability comparison rather than a cost one.

These two swap places depending on direction of traffic: Mistral Large 3 leads on an 80/20 input-heavy blend, Llama 3.1 405B on a 20/80 output-heavy one. The 5 benchmarks they both publish do not separate them; wins are shared. Mistral Large 3 reads more in one request: 256,000 tokens of context against 128,000.

Pricing and capacity

Published token pricing and context window for Mistral Large 3 and Llama 3.1 405B
MetricMistral Large 3Llama 3.1 405BDifference
Input / 1M tokens$0.500$0.80038%
Output / 1M tokens$1.50$0.80047%
Blended · 70/30calculated$0.800$0.800level
Blended · 50/50calculated$1.00$0.80020%
Blended · 80/20calculated$0.700$0.80013%
Blended · 20/80calculated$1.30$0.80038%
Job cost · 100K + 10Kcalculated$0.065$0.08826%
Job cost · 1M + 100Kcalculated$0.650$0.88026%
Context window256,000128,0002.0×

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Benchmarks

Benchmark scores both Mistral Large 3 and Llama 3.1 405B report
BenchmarkMistral Large 3Llama 3.1 405BLeader
MMLU84%88%Llama 3.1 405B
GPQA Diamond52%51%Mistral Large 3
MATH73%73%Level
HumanEval92%89%Mistral Large 3
LMArena Elo1283 Elo1290 EloLlama 3.1 405B

Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run. Where a model has no score of its own it inherits its base model’s, since the weights are the same.

What each model is for

Mistral Large 3

Mistral · Frontier

Mistral's frontier model. Strong multilingual performance and Europe-friendly hosting options.

  • Multilingual
  • EU sovereign hosting
  • Strong code
  • 128K context

Llama 3.1 405B

Meta · Large

Largest dense Llama. Used as a quality benchmark for open weights, heavy to run, often hosted via Together / DeepInfra / Cerebras.

  • Top open-weights quality
  • Permissive license
  • Strong reasoning

Frequently asked questions

Which is cheaper, Mistral Large 3 or Llama 3.1 405B?

Both price out at $0.800 per million tokens blended, making this a capability comparison rather than a cost one. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which performs better, Mistral Large 3 or Llama 3.1 405B?

The 5 benchmarks they both publish do not separate them; wins are shared. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.

Which has the larger context window, Mistral Large 3 or Llama 3.1 405B?

Mistral Large 3 reads more in one request: 256,000 tokens of context against 128,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare Mistral Large 3 and Llama 3.1 405B on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.