Claude Mythos 5.2 vs Mistral Large 3 (675B Instruct 2512)
Claude Mythos 5.2 leads the LLM Stats Score 59.6 to 8.3. Mistral Large 3 (675B Instruct 2512) is 21.3x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Mythos 5.2 leads the overall LLM Stats Score 59.6 to 8.3, ranking #2 overall.
On price, Mistral Large 3 (675B Instruct 2512) is roughly 21.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Mythos 5.2 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Mythos 5.2
- overall performance matters — it scores 59.6 and ranks #2 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Mistral Large 3 (675B Instruct 2512)
- cost matters — it's about 21.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for Claude Mythos 5.2 · 5 for Mistral Large 3 (675B Instruct 2512)
Claude Mythos 5.2 and Mistral Large 3 (675B Instruct 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Mythos 5.2 ($8.00/1M tokens) is 16.0x more expensive than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).
For output processing, Claude Mythos 5.2 ($40.00/1M tokens) is 26.7x more expensive than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).
In conclusion, Claude Mythos 5.2 is more expensive than Mistral Large 3 (675B Instruct 2512).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Mythos 5.2 accepts 1,000,000 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while Claude Mythos 5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Mythos 5.2 and Mistral Large 3 (675B Instruct 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Mythos 5.2
Mistral Large 3 (675B Instruct 2512)
License
Usage and distribution terms
Claude Mythos 5.2 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Mythos 5.2 was released on 2026-11-09, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.
Claude Mythos 5.2 is 11 months newer than Mistral Large 3 (675B Instruct 2512).
Nov 9, 2026
0 days ago
11mo newerDec 4, 2025
11 months ago
Knowledge Cutoff
When training data ends
Claude Mythos 5.2 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 3 (675B Instruct 2512)'s cutoff date is not specified.
We can confirm Claude Mythos 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512)'s cutoff date.
Jun 2026
—
Provider Availability
Claude Mythos 5.2 is available from Anthropic. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.
Claude Mythos 5.2
Mistral Large 3 (675B Instruct 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Mythos 5.2 and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Mythos 5.2 vs Mistral Large 3 (675B Instruct 2512).
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