Model comparison
GLM-4.7 vs Mistral Large 3
GLM-4.7 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-4.7's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. GLM-4.7 scores higher in 6 categories and Mistral Large 3 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 36.0.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- Mistral Large 3 accepts more context: 262K tokens versus 205K.
Side by side
| GLM-4.7 | Mistral Large 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 39.1 |
| Released | 2025-12-22 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.60 | $0.25 |
| Output $ / M tokens | $2.20 | $0.75 |
| Results tracked | 36 | 24 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 44.0 (#79), Mistral Large 3: 34.4 (#237)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1435 | 1230 |
| LMArena Coding | 1454 | 1448 |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.5 (#103), Mistral Large 3: —
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning GLM-4.7 leads
GLM-4.7: 24.3 (#164), Mistral Large 3: 15.2 (#319)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1429 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Thematic Generalization | — | 23% |
| Epoch Capabilities Index | 143.51 | — |
Math Too close to call
GLM-4.7: 38.6 (#135), Mistral Large 3: 38.7 (#129)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1423 | 1414 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#80), Mistral Large 3: 36.0 (#177)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 11.7% | 14.5% |
| LMArena Expert | 1424 | 1421 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
Multimodal Not comparable
GLM-4.7: —, Mistral Large 3: 38.2 (#66)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Too close to call
GLM-4.7: 52.8 (#79), Mistral Large 3: 52.5 (#84)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1417 | 1413 |
| LMArena Chinese | 1495 | 1447 |
| LMArena French | 1432 | 1455 |
| LMArena German | 1424 | 1437 |
| LMArena Japanese | 1439 | 1394 |
| LMArena Korean | 1399 | 1384 |
| LMArena Russian | 1423 | 1411 |
| LMArena Spanish | 1434 | 1440 |
Instruction Following Too close to call
GLM-4.7: 74.4 (#95), Mistral Large 3: 74.0 (#108)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1403 |
Long Context Too close to call
GLM-4.7: 42.8 (#116), Mistral Large 3: 43.1 (#105)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1432 | 1413 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference Too close to call
GLM-4.7: 60.9 (#93), Mistral Large 3: 60.0 (#101)
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1435 | 1428 |
| LMArena Creative Writing | 1401 | 1386 |
| EQ-Bench Creative Writing | 1413 | 1412 |
| LMArena Multi-Turn | 1446 | 1429 |
Frequently asked questions
Is GLM-4.7 better than Mistral Large 3?
GLM-4.7 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-4.7's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7 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-4.7 lists at $0.60 and $2.20.
Is GLM-4.7 or Mistral Large 3 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 205K.
How many benchmarks do GLM-4.7 and Mistral Large 3 share?
20 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral Large 3 has 24.