Model comparison
GLM-5V-Turbo vs Mistral Large 3
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Mistral Large 3 costs 5.1× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-5V-Turbo scores higher in 9 categories and Mistral Large 3 in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 28.5 to 14.6.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Mistral Large 3 accepts more context: 262K tokens versus 200K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Mistral Large 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 43.1 | 38.6 |
| Released | 2026-04-01 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 131K | 8K |
| Input $ / M tokens | $1.20 | $0.25 |
| Output $ / M tokens | $4 | $0.75 |
| Results tracked | 19 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 41.8 (#105), Mistral Large 3: 34.1 (#230)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1400 | 1230 |
| LMArena Coding | 1467 | 1447 |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 28.5 (#87), Mistral Large 3: 14.6 (#314)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
Math Too close to call
GLM-5V-Turbo: 36.6 (#109), Mistral Large 3: 36.0 (#131)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1440 | 1415 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 39.9 (#113), Mistral Large 3: 35.5 (#173)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1451 | 1421 |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal GLM-5V-Turbo leads
GLM-5V-Turbo: 40.1 (#41), Mistral Large 3: 37.6 (#65)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1264 | 1222 |
| LMArena Document | 1416 | — |
Multilingual Too close to call
GLM-5V-Turbo: 53.2 (#69), Mistral Large 3: 52.6 (#79)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1420 | 1412 |
| LMArena Chinese | 1488 | 1448 |
| LMArena French | 1443 | 1456 |
| LMArena German | 1422 | 1438 |
| LMArena Korean | 1399 | 1384 |
| LMArena Russian | 1432 | 1412 |
| LMArena Spanish | 1446 | 1437 |
| LMArena Japanese | — | 1399 |
Instruction Following Too close to call
GLM-5V-Turbo: 75.1 (#75), Mistral Large 3: 74.1 (#104)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1422 | 1402 |
Long Context Too close to call
GLM-5V-Turbo: 44.0 (#76), Mistral Large 3: 43.1 (#102)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1439 | 1413 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.6 (#69), Mistral Large 3: 60.2 (#100)
| Benchmark | GLM-5V-Turbo | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1437 | 1427 |
| LMArena Creative Writing | 1414 | 1385 |
| LMArena Multi-Turn | 1432 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is GLM-5V-Turbo better than Mistral Large 3?
GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Mistral Large 3 costs 5.1× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Mistral Large 3 better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Mistral Large 3 share?
18 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Large 3 has 24.