Mistral AI
Mistral Large 2 2411 is an update of Mistral Large 2 released together with Pixtral Large 2411 It provides a significant upgrade on the previous Mistral Large 24.07, with notable...
Running this yourself: can likely run on your own machine.
Current rates are not verified. Missing pricing does not mean free usage.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
39.9
Quality Score
1264
Arena ELO
Unknown
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
Sign in to join the discussion
0
Downloads
0
Likes
Nov 2024
Released
3/5 signals
4/4 signals
4/5 signals
1/4 signals
2/4 signals
Gaps we are still tracking
Launches
2
Benchmarks
20
General
8
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
View sourcelanguage: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
View sourcelanguage: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
View sourceMistral is bringing @aiDotEngineer back to Paris. After last year’s sold-out edition, our VP of Engineering Lélio Renard-Lavaud joins speakers from @bfl_ai , @cognition, @huggingface, and more. Explore the event and secure your spot: https://t.co/SyEfmXAdCF
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5
language: 0.5 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.5