Model comparison
GLM-4.5V vs Mistral Nemo
GLM-4.5V is the stronger model overall, scoring 39.2 to 25.9 on the Noometry Index. Mistral Nemo costs 6.0× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in knowledge, where GLM-4.5V leads 36.8 to 12.3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Mistral Nemo accepts more context: 128K tokens versus 64K.
Side by side
| GLM-4.5V | Mistral Nemo | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 39.2 | 25.9 |
| Released | 2025-08-11 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 64K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.60 | $0.15 |
| Output $ / M tokens | $1.80 | $0.15 |
| Results tracked | 15 | 10 |
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Category by category
Coding Not comparable
GLM-4.5V: 38.9 (#152), Mistral Nemo: —
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1347 | — |
Agentic & Tool Use Not comparable
GLM-4.5V: —, Mistral Nemo: 23.3 (#118)
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Mistral Nemo: 19.9 (#230)
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.63 |
| PIQA | — | 83.5% |
Math GLM-4.5V leads
GLM-4.5V: 34.7 (#157), Mistral Nemo: 23.5 (#263)
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Math | 1353 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge GLM-4.5V leads
GLM-4.5V: 36.8 (#155), Mistral Nemo: 12.3 (#293)
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1353 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Mistral Nemo: —
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.9 (#172), Mistral Nemo: —
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1304 | — |
| LMArena Chinese | 1338 | — |
| LMArena Russian | 1299 | — |
| LMArena Spanish | 1335 | — |
Instruction Following Not comparable
GLM-4.5V: 69.4 (#170), Mistral Nemo: —
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#166), Mistral Nemo: —
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1305 | — |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.7 (#162), Mistral Nemo: 28.6 (#291)
| Benchmark | GLM-4.5V | Mistral Nemo |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1333 | — |
Frequently asked questions
Is GLM-4.5V better than Mistral Nemo?
GLM-4.5V is the stronger model overall, scoring 39.2 to 25.9 on the Noometry Index. Mistral Nemo costs 6.0× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5V or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Which has the bigger context window?
Mistral Nemo does, with 128K tokens against 64K.
How many benchmarks do GLM-4.5V and Mistral Nemo share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mistral Nemo has 10.