GLM / Z.ai (Zhipu AI) vs Codestral 2 (Mistral)

Which one should you pick? Here's the full breakdown.

Our Pick

GLM / Z.ai (Zhipu AI)

A
8.0/10

Zhipu AI's open-weights family -- GLM-5.1 (launched 2026-04-07) is 744B MoE / 40B active, topped SWE-Bench Pro at 58.4 (beating GPT-5.4 and Claude Opus 4.6), MIT licensed, 200K context. Trained entirely on 100K Huawei Ascend 910B chips -- first frontier model with zero Nvidia in the training stack

Codestral 2 (Mistral)

B
7.5/10

Mistral's dedicated code model -- Codestral 2 (launched 2026-04-08) relicensed under Apache 2.0, removing the commercial-use restrictions of the original. 22B dense, strong FIM (fill-in-middle), available via Mistral API + Hugging Face

CategoryGLM / Z.ai (Zhipu AI)Codestral 2 (Mistral)
Ease of Use6.56.0
Output Quality8.58.0
Value9.09.0
Features8.07.0
Overall8.07.5

Pricing Comparison

FeatureGLM / Z.ai (Zhipu AI)Codestral 2 (Mistral)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

GLM-5.1 (744B MoE / 40B active) benchmarks — Codestral 2 (Mistral) has no published benchmarks

BenchmarkScore
SWE-Bench Pro58.4%
MMLU-Pro81.2%
GPQA Diamond74.5%
HumanEval89.1%
SWE-Bench Verified64.2%
BFCL (function calling)88%

Which Should You Pick?

Pick GLM / Z.ai (Zhipu AI) if...

  • More features (8 vs 7)

Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).

Visit GLM / Z.ai (Zhipu AI)

Pick Codestral 2 (Mistral) if...

Developers and teams who want a legally-clean open-weights code model they can self-host OR hit via API, particularly those with EU data-residency requirements. Ideal for building in-house IDE extensions, code-review bots, or CI/CD AI integrations where the Apache 2.0 license removes procurement friction.

Visit Codestral 2 (Mistral)

Our Verdict

GLM / Z.ai (Zhipu AI) edges out Codestral 2 (Mistral) with a 8.0 vs 7.5 overall score. Both are solid picks, but GLM / Z.ai (Zhipu AI) has the advantage in output quality.