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Claude Mythos 5.1 vs GLM-4.7

Claude Mythos 5.1 leads the LLM Stats Score 45.1 to 34.4. GLM-4.7 is 27.1x cheaper per token.

Anthropic · Zhipu AI · Updated for 2026

Which is better?

Claude Mythos 5.1 leads the overall LLM Stats Score 45.1 to 34.4, ranking #31 overall.

On price, GLM-4.7 is roughly 27.1x 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 GLM-4.7

  • cost matters — it's about 27.1x 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
34.4
#90
44.4
#34
34.3
#89
37.5
#17
17.7
#114
34.5
#21
9.6
#120
Cost, coverage & limits
Benchmark wins
Input price
$10.00 / M
$0.40 / M
Output price
$50.00 / M
$1.75 / M
Context window
1,000,000
202,752

Individual benchmarks

1 reported for Claude Mythos 5.1 · 13 for GLM-4.7

No common benchmarks found

Claude Mythos 5.1 and GLM-4.7don'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

GLM-4.7 costs less

For input processing, Claude Mythos 5.1 ($10.00/1M tokens) is 25.0x more expensive than GLM-4.7 ($0.40/1M tokens).

For output processing, Claude Mythos 5.1 ($50.00/1M tokens) is 28.6x more expensive than GLM-4.7 ($1.75/1M tokens).

In conclusion, Claude Mythos 5.1 is more expensive than GLM-4.7.*

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

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
Anthropic
Claude Mythos 5.1
Input tokens$10.00
Output tokens$50.00
Best providerAnthropic
Zhipu AI
GLM-4.7
Input tokens$0.40
Output tokens$1.75
Best providerDeepinfra
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 GLM-4.7's 202,752 tokens. GLM-4.7 can generate longer responses up to 202,752 tokens, while Claude Mythos 5.1 is limited to 128,000 tokens.

Anthropic
Claude Mythos 5.1
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.7
Input202,752 tokens
Output202,752 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Mythos 5.1 and GLM-4.7 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

GLM-4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Mythos 5.1 is licensed under a proprietary license, while GLM-4.7 uses MIT.

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

Claude Mythos 5.1

Proprietary

Closed source

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

Claude Mythos 5.1 was released on 2026-09-01, while GLM-4.7 was released on 2025-12-22.

Claude Mythos 5.1 is 8 months newer than GLM-4.7.

Claude Mythos 5.1

Sep 1, 2026

1 weeks ago

8mo newer
GLM-4.7

Dec 22, 2025

8 months 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. GLM-4.7 is available from DeepInfra, Fireworks, Novita.

Claude Mythos 5.1

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

GLM-4.7

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.75/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* 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 GLM-4.7 side-by-side, then vote on the output you prefer.

Claude Mythos 5.1
✓ Preferred
GLM-4.7
Open in Playground

FAQ

Common questions about Claude Mythos 5.1 vs GLM-4.7.

Which is better, Claude Mythos 5.1 or GLM-4.7?

Claude Mythos 5.1 leads the LLM Stats Score 45.1 to 34.4. Claude Mythos 5.1 is made by Anthropic and GLM-4.7 is made by Zhipu 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 GLM-4.7 in benchmarks?

Claude Mythos 5.1 scores Terminal-Bench 4.0: 60.9%. GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.

Is Claude Mythos 5.1 cheaper than GLM-4.7?

GLM-4.7 is 25.0x cheaper for input tokens. Claude Mythos 5.1 costs $10.00/M input and $50.00/M output via anthropic. GLM-4.7 costs $0.40/M input and $1.75/M output via deepinfra.

What are the context window sizes for Claude Mythos 5.1 and GLM-4.7?

Claude Mythos 5.1 supports 1.0M tokens and GLM-4.7 supports 203K 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 GLM-4.7?

Key differences include LLM Stats Score (45.1 vs 34.4), context window (1.0M vs 203K), input pricing ($10.00 vs $0.40/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Mythos 5.1 and GLM-4.7?

Claude Mythos 5.1 is developed by Anthropic and GLM-4.7 is developed by Zhipu AI.