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GLM-4.7 vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 34.2. GLM-4.7 is 1.4x cheaper per token.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 34.2, ranking #34 overall.

On price, GLM-4.7 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 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 GLM-4.7

  • cost matters — it's about 1.4x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 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 Oct 2026

At a glance

The differences that matter most.

GLM-4.7
Zhipu AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
34.2
#105
46.2
#34
Reasoning
34.1
#101
44.0
#43
Coding
17.4
#130
35.8
#27
Agents
9.4
#137
34.3
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
$0.68 / M
Output price
$1.75 / M
$2.09 / M
Context window
202,752
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.7
Mistral Large 4
Tool use
8.3#150
27.1#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for GLM-4.7 · 18 for Mistral Large 4

No common benchmarks found

GLM-4.7 and Mistral Large 4don'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, GLM-4.7 ($0.40/1M tokens) is 1.7x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, GLM-4.7 ($1.75/1M tokens) is 1.2x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than GLM-4.7.*

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

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Zhipu AI
GLM-4.7
Input tokens$0.40
Output tokens$1.75
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

692.0B diff

Mistral Large 4 has 692.0B more parameters than GLM-4.7, making it 193.3% larger.

Zhipu AI
GLM-4.7
358.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
358.0B
GLM-4.7
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to GLM-4.7's 202,752 tokens. Only GLM-4.7 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.7
Input202,752 tokens
Output202,752 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-4.7 and Mistral Large 4 support multimodal inputs.

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

GLM-4.7

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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

GLM-4.7

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 10 months newer than GLM-4.7.

GLM-4.7

Dec 22, 2025

9 months ago

Mistral Large 4

Oct 6, 2026

2 days ago

9mo newer

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

GLM-4.7 is available from DeepInfra, Fireworks, Novita. Mistral Large 4 is available from Mistral AI.

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

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-4.7 and Mistral Large 4 side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about GLM-4.7 vs Mistral Large 4.

Which is better, GLM-4.7 or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 34.2. GLM-4.7 is made by Zhipu AI and Mistral Large 4 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 GLM-4.7 compare to Mistral Large 4 in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is GLM-4.7 cheaper than Mistral Large 4?

GLM-4.7 is 1.7x cheaper for input tokens. GLM-4.7 costs $0.40/M input and $1.75/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for GLM-4.7 and Mistral Large 4?

GLM-4.7 supports 203K tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.7 and Mistral Large 4?

Key differences include LLM Stats Score (34.2 vs 46.2), context window (203K vs 1.0M), input pricing ($0.40 vs $0.68/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7 and Mistral Large 4?

GLM-4.7 is developed by Zhipu AI and Mistral Large 4 is developed by Mistral AI.

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