Model comparison
GLM-4.6V vs Mistral Nemo
GLM-4.6V is the stronger model overall, scoring 41.3 to 26.4 on the Noometry Index. Mistral Nemo costs 3.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 28.5.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Side by side
| GLM-4.6V | Mistral Nemo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.3 | 26.4 |
| Released | 2025-12-08 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.30 | $0.15 |
| Output $ / M tokens | $0.90 | $0.15 |
| Results tracked | 12 | 10 |
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Category by category
Coding Not comparable
GLM-4.6V: 40.9 (#128), Mistral Nemo: —
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1390 | — |
Agentic & Tool Use Not comparable
GLM-4.6V: —, Mistral Nemo: 23.5 (#125)
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Mistral Nemo: 20.7 (#232)
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1368 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Not comparable
GLM-4.6V: —, Mistral Nemo: 25.5 (#268)
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge GLM-4.6V leads
GLM-4.6V: 38.0 (#149), Mistral Nemo: 12.3 (#298)
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1371 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Mistral Nemo: —
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.6 (#141), Mistral Nemo: —
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |
Instruction Following Not comparable
GLM-4.6V: 71.4 (#151), Mistral Nemo: —
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#143), Mistral Nemo: —
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.6 (#137), Mistral Nemo: 28.5 (#296)
| Benchmark | GLM-4.6V | Mistral Nemo |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1360 | — |
Frequently asked questions
Is GLM-4.6V better than Mistral Nemo?
GLM-4.6V is the stronger model overall, scoring 41.3 to 26.4 on the Noometry Index. Mistral Nemo costs 3.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6V or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GLM-4.6V and Mistral Nemo share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Nemo has 10.