Model comparison
GLM-5V-Turbo vs Mistral Nemo
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 26.4 on the Noometry Index. Mistral Nemo costs 13× 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 writing & preference, where GLM-5V-Turbo leads 62.5 to 28.5.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Mistral Nemo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 43.8 | 26.4 |
| Released | 2026-04-01 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $1.20 | $0.15 |
| Output $ / M tokens | $4 | $0.15 |
| Results tracked | 19 | 10 |
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Category by category
Coding Not comparable
GLM-5V-Turbo: 42.1 (#111), Mistral Nemo: —
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena WebDev | 1401 | — |
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Mistral Nemo: 23.5 (#125)
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Mistral Nemo: 20.7 (#232)
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1443 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Mistral Nemo: 25.5 (#268)
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Math | 1441 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Mistral Nemo: 12.3 (#298)
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1452 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Mistral Nemo: —
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), Mistral Nemo: —
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| 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
GLM-5V-Turbo: 75.0 (#80), Mistral Nemo: —
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), Mistral Nemo: —
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Mistral Nemo: 28.5 (#296)
| Benchmark | GLM-5V-Turbo | Mistral Nemo |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than Mistral Nemo?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 26.4 on the Noometry Index. Mistral Nemo costs 13× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 128K.
How many benchmarks do GLM-5V-Turbo and Mistral Nemo share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Nemo has 10.