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Mistral AI

odestral 22B v0.1

VS
Z.ai (Zhipu AI)

GLM-5.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.1 is the premium intelligence choice, scoring 58.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: odestral 22B v0.1 is 1.0x cheaper to run and delivers 1.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, odestral 22B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.1 fully justifies the cost.

Model Specs

odestral 22B v0.1

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
200 tps
Context Window
32.77k tokens
Model Specs

GLM-5.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
58.4%
Reasoning (gpqa-diamond)Winner (+)
86.2%

Cost & Performance

Cost (per 1M tokens)
$1.50Input: $0.98 | Output: $3.08
Speed
N/A
Context WindowLarger
204.8k tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Speed data is not available for GLM-5.1, while odestral 22B v0.1 generates 200 tokens per second.

GLM-5.1 is better for coding tasks. It scores 58.4% on coding evaluations (swe-bench-pro) compared to odestral 22B v0.1 which scores N/A.

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