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Claude Mythos 5.1 vs Pixtral-12B

Claude Mythos 5.1 leads the LLM Stats Score 45.1 to -1.6. Pixtral-12B is 133.3x cheaper per token.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Mythos 5.1 leads the overall LLM Stats Score 45.1 to -1.6, ranking #31 overall.

On price, Pixtral-12B is roughly 133.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Mythos 5.1 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 5.1

  • overall performance matters — it scores 45.1 and ranks #31 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 Sep 2026

Choose Pixtral-12B

  • cost matters — it's about 133.3x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
45.1
#31
-1.6
#334
44.4
#34
-3.7
#336
37.5
#17
-2.6
#248
Cost, coverage & limits
Benchmark wins
Input price
$10.00 / M
$0.15 / M
Output price
$50.00 / M
$0.15 / M
Context window
1,000,000
128,000

Individual benchmarks

1 reported for Claude Mythos 5.1 · 12 for Pixtral-12B

No common benchmarks found

Claude Mythos 5.1 and Pixtral-12Bdon'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

Pixtral-12B costs less

For input processing, Claude Mythos 5.1 ($10.00/1M tokens) is 66.7x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Claude Mythos 5.1 ($50.00/1M tokens) is 333.3x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Claude Mythos 5.1 is more expensive than Pixtral-12B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
Anthropic
Claude Mythos 5.1
Input tokens$10.00
Output tokens$50.00
Best providerAnthropic
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Claude Mythos 5.1 accepts 1,000,000 input tokens compared to Pixtral-12B's 128,000 tokens. Claude Mythos 5.1 can generate longer responses up to 128,000 tokens, while Pixtral-12B is limited to 8,192 tokens.

Anthropic
Claude Mythos 5.1
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Mythos 5.1 and Pixtral-12B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Mythos 5.1

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Mythos 5.1 is licensed under a proprietary license, while Pixtral-12B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Mythos 5.1

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Mythos 5.1 was released on 2026-09-01, while Pixtral-12B was released on 2024-09-17.

Claude Mythos 5.1 is 24 months newer than Pixtral-12B.

Claude Mythos 5.1

Sep 1, 2026

1 weeks ago

2.0yr newer
Pixtral-12B

Sep 17, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude Mythos 5.1 is available from Anthropic. Pixtral-12B is available from Mistral AI.

Claude Mythos 5.1

anthropic logo
Anthropic
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Claude Mythos 5.1 and Pixtral-12B side-by-side, then vote on the output you prefer.

Claude Mythos 5.1
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Claude Mythos 5.1 vs Pixtral-12B.

Which is better, Claude Mythos 5.1 or Pixtral-12B?

Claude Mythos 5.1 leads the LLM Stats Score 45.1 to -1.6. Claude Mythos 5.1 is made by Anthropic and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Mythos 5.1 compare to Pixtral-12B in benchmarks?

Claude Mythos 5.1 scores Terminal-Bench 4.0: 60.9%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Claude Mythos 5.1 cheaper than Pixtral-12B?

Pixtral-12B is 66.7x cheaper for input tokens. Claude Mythos 5.1 costs $10.00/M input and $50.00/M output via anthropic. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Claude Mythos 5.1 and Pixtral-12B?

Claude Mythos 5.1 supports 1.0M tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Mythos 5.1 and Pixtral-12B?

Key differences include LLM Stats Score (45.1 vs -1.6), context window (1.0M vs 128K), input pricing ($10.00 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Mythos 5.1 and Pixtral-12B?

Claude Mythos 5.1 is developed by Anthropic and Pixtral-12B is developed by Mistral AI.