Model comparison
Codestral vs GLM-5V-Turbo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index. Codestral costs 4.2× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where GLM-5V-Turbo leads 42.1 to 27.3.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Codestral accepts more context: 256K tokens versus 200K.
Side by side
| Codestral | GLM-5V-Turbo | |
|---|---|---|
| Provider | Mistral AI | Z.ai (Zhipu) |
| Noometry Index | 30.6 | 43.8 |
| Released | 2024-05-29 | 2026-04-01 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 200K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.30 | $1.20 |
| Output $ / M tokens | $0.90 | $4 |
| Results tracked | 7 | 19 |
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Category by category
Coding GLM-5V-Turbo leads
Codestral: 27.3 (#321), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1401 |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1466 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning GLM-5V-Turbo leads
Codestral: 19.8 (#251), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1443 |
Math Not comparable
Codestral: —, GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | — | 1441 |
Knowledge Not comparable
Codestral: —, GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | — | 1452 |
Multimodal Not comparable
Codestral: —, GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Vision | — | 1264 |
| LMArena Document | — | 1416 |
Multilingual Not comparable
Codestral: —, GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | — | 1420 |
| LMArena Chinese | — | 1488 |
| LMArena French | — | 1444 |
| LMArena German | — | 1423 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1431 |
| LMArena Spanish | — | 1450 |
Instruction Following Not comparable
Codestral: —, GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | — | 1423 |
Long Context Not comparable
Codestral: —, GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | — | 1438 |
Writing & Preference Not comparable
Codestral: —, GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Codestral | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | — | 1437 |
| LMArena Creative Writing | — | 1416 |
| LMArena Multi-Turn | — | 1432 |
Frequently asked questions
Is Codestral better than GLM-5V-Turbo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index. Codestral costs 4.2× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, Codestral or GLM-5V-Turbo?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is Codestral or GLM-5V-Turbo better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Codestral does, with 256K tokens against 200K.
How many benchmarks do Codestral and GLM-5V-Turbo share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GLM-5V-Turbo has 19.