Model Comparison

GLM-5 vs Devstral MediumWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks. Devstral Medium is 1.9x cheaper per token.

Verdict: GLM-5 vs Devstral Medium — which is better?

GLM-5 (by Zhipu AI) and Devstral Medium (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.

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Medium is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, Devstral Medium 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…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose Devstral Medium if…

  • cost matters — it's about 1.9x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Medium is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Medium costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.5x more expensive than Devstral Medium ($0.40/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.6x more expensive than Devstral Medium ($2.00/1M tokens).

In conclusion, GLM-5 is more expensive than Devstral Medium.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Devstral Medium'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
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Devstral Medium uses a proprietary license.

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

GLM-5

MIT

Open weights

Devstral Medium

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Devstral Medium was released on 2025-07-10.

GLM-5 is 7 months newer than Devstral Medium.

GLM-5

Feb 11, 2026

4 months ago

7mo newer
Devstral Medium

Jul 10, 2025

11 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

GLM-5 is available from FriendliAI, ZAI. Devstral Medium is available from 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

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* 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)
Has open weights
Higher SWE-Bench Verified score (77.8% vs 61.6%)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Devstral Medium

FAQ

Common questions about GLM-5 vs Devstral Medium.

Which is better, GLM-5 or Devstral Medium?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Devstral Medium is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Devstral Medium 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%. Devstral Medium scores SWE-Bench Verified: 61.6%.

Is GLM-5 cheaper than Devstral Medium?

Devstral Medium is 2.5x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Devstral Medium costs $0.40/M input and $2.00/M output via mistral.

What are the context window sizes for GLM-5 and Devstral Medium?

GLM-5 supports 200K tokens and Devstral Medium 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 Devstral Medium?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.40/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Devstral Medium?

GLM-5 is developed by Zhipu AI and Devstral Medium is developed by Mistral AI.

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