Model Comparison

GLM-5 vs Mistral Large 2Which is better in 2026?

Comparing GLM-5 and Mistral Large 2 across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Mistral Large 2 — which is better?

GLM-5 (by Zhipu AI) and Mistral Large 2 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, GLM-5 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • cost matters — it's about 1.9x cheaper per token
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Large 2 if…

  • you want predictable pricing at $2.00/M input and $6.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.9x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than GLM-5.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

621.0B diff

GLM-5 has 621.0B more parameters than Mistral Large 2, making it 504.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
744.0B
GLM-5
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Mistral Large 2's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mistral Large 2 uses Mistral Research License.

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

GLM-5

MIT

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mistral Large 2 was released on 2024-07-24.

GLM-5 is 19 months newer than Mistral Large 2.

GLM-5

Feb 11, 2026

3 months ago

1.6yr newer
Mistral Large 2

Jul 24, 2024

1.9 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

GLM-5 is available from FriendliAI, ZAI. Mistral Large 2 is available from Google, Mistral AI.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Mistral Large 2

FAQ

Common questions about GLM-5 vs Mistral Large 2.

Which is better, GLM-5 or Mistral Large 2?

GLM-5 (Zhipu AI) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Mistral Large 2 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is GLM-5 cheaper than Mistral Large 2?

GLM-5 is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for GLM-5 and Mistral Large 2?

GLM-5 supports 200K tokens and Mistral Large 2 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 GLM-5 and Mistral Large 2?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $2.00/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Mistral Large 2?

GLM-5 is developed by Zhipu AI and Mistral Large 2 is developed by Mistral AI.

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