Model comparison
GLM-4.5 vs Mistral Large 3
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and Mistral Large 3 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 50.9% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5 | Mistral Large 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 39.1 |
| Released | 2025-07-27 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 8K |
| Input $ / M tokens | $0.60 | $0.25 |
| Output $ / M tokens | $2.20 | $0.75 |
| Results tracked | 27 | 24 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Mistral Large 3: 34.4 (#237)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1434 | 1448 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1230 |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Mistral Large 3: 15.2 (#319)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 50.9% |
| LMArena Hard Prompts | 1429 | 1429 |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
Math Too close to call
GLM-4.5: 39.0 (#116), Mistral Large 3: 38.7 (#129)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1427 | 1414 |
Knowledge Too close to call
GLM-4.5: 35.9 (#179), Mistral Large 3: 36.0 (#177)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1433 | 1421 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal Not comparable
GLM-4.5: —, Mistral Large 3: 38.2 (#66)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Too close to call
GLM-4.5: 52.8 (#77), Mistral Large 3: 52.5 (#84)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1417 | 1413 |
| LMArena Chinese | 1465 | 1447 |
| LMArena French | 1418 | 1455 |
| LMArena German | 1407 | 1437 |
| LMArena Japanese | 1415 | 1394 |
| LMArena Korean | 1380 | 1384 |
| LMArena Russian | 1414 | 1411 |
| LMArena Spanish | 1454 | 1440 |
Instruction Following Too close to call
GLM-4.5: 74.1 (#104), Mistral Large 3: 74.0 (#108)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1403 |
Long Context Mistral Large 3 leads
GLM-4.5: 38.2 (#201), Mistral Large 3: 43.1 (#105)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1412 | 1413 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Mistral Large 3 leads
GLM-4.5: 57.5 (#127), Mistral Large 3: 60.0 (#101)
| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1430 | 1428 |
| LMArena Creative Writing | 1395 | 1386 |
| EQ-Bench Creative Writing | 1343 | 1412 |
| LMArena Multi-Turn | 1415 | 1429 |
| Short-Story Creative Writing | 73.4% | — |
Frequently asked questions
Is GLM-4.5 better than Mistral Large 3?
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5 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-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or Mistral Large 3 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 131K.
How many benchmarks do GLM-4.5 and Mistral Large 3 share?
19 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Large 3 has 24.