In this head-to-head showdown, Z.ai: GLM 5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,320), while Z.ai: GLM 5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while Codestral 25.01 is more budget-friendly at $0.9/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 benchmarks evaluated across capability, speed, and cost
Mistral code-specialist model.
Auto-discovered from OpenRouter (z-ai/glm-5v-turbo). Preview until a second source matches.
Currently comparing Codestral 25.01 vs Z.ai: GLM 5V Turbo. Alternative family tiers available.
+155 Arena Elo pts
148 tok/s
$0.9 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Codestral 25.01 | Z.ai: GLM 5V Turbo | Difference / Delta |
|---|---|---|---|
| Preference Elo | Z.ai: GLM 5V Turbo+155 | ||
| Coding Elo | Z.ai: GLM 5V Turbo+80 | ||
| LiveBench | Z.ai: GLM 5V Turbo+9.8% | ||
| SWE-bench | Z.ai: GLM 5V Turbo+13.4% | ||
| GPQA Diamond | Z.ai: GLM 5V Turbo+19% | ||
| Time to first token | Codestral 25.01+30 ms | ||
| Output speed | 148 tok/s | 112 tok/s | Codestral 25.01+36 tok/s |
| Input price | $0.3/1M | $1.2/1M | Codestral 25.01+$0.9/1M |
| Output price | $0.9/1M | Codestral 25.01+$3.1/1M | |
| Context window | Codestral 25.01+53k |
Simulate monthly production API costs in USD (US Dollar).
Codestral 25.01 is estimated to save $78.00/month ($936/year).
Higher SWE-bench (65.2%).
Lower output list price ($0.9/1M).
Lower TTFT (150 ms).
Larger window (256k).
Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Z.ai: GLM 5V Turbo | Higher SWE-bench (65.2%). |
| High-volume chat | Codestral 25.01 | Lower output list price ($0.9/1M). |
| Voice / low-latency UI | Codestral 25.01 | Lower TTFT (150 ms). |
| Long-document RAG | Codestral 25.01 | Larger window (256k). |
| Screenshots / vision | Z.ai: GLM 5V Turbo | Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
