Model comparison
GLM-4.7-Flash vs Mistral Medium
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 36.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GLM-4.7-Flash scores higher in 3 categories and Mistral Medium in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 47.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 32.2% for Mistral Medium.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 200K.
Side by side
| GLM-4.7-Flash | Mistral Medium | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 36.3 |
| Released | 2026-01-19 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 200K | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.06 | $1.50 |
| Output $ / M tokens | $0.40 | $7.50 |
| Results tracked | 21 | 36 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Mistral Medium: 34.2 (#243)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Coding | 1383 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
GLM-4.7-Flash: —, Mistral Medium: 28.3 (#90)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
GLM-4.7-Flash: 20.9 (#229), Mistral Medium: 24.0 (#167)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Mistral Medium: 28.1 (#245)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 32.2% |
| LMArena Math | 1355 | 1408 |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Mistral Medium: 25.0 (#265)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| GPQA Diamond | 60.5% | 59.5% |
| Vectara Hallucination Rate | 9.3% | 22.7% |
| LMArena Expert | 1357 | 1408 |
| Humanity's Last Exam | — | 4.5% |
Multimodal Not comparable
GLM-4.7-Flash: —, Mistral Medium: 35.3 (#88)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
GLM-4.7-Flash: 46.5 (#158), Mistral Medium: 52.1 (#91)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1330 | 1408 |
| LMArena Chinese | 1403 | 1447 |
| LMArena French | 1332 | 1459 |
| LMArena German | 1337 | 1432 |
| LMArena Korean | 1283 | 1380 |
| LMArena Russian | 1332 | 1411 |
| LMArena Spanish | 1350 | 1433 |
| LMArena Japanese | — | 1378 |
Instruction Following Mistral Medium leads
GLM-4.7-Flash: 70.1 (#167), Mistral Medium: 73.7 (#116)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1327 | 1398 |
Long Context Mistral Medium leads
GLM-4.7-Flash: 40.9 (#148), Mistral Medium: 42.9 (#114)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1345 | 1406 |
Writing & Preference Mistral Medium leads
GLM-4.7-Flash: 47.4 (#210), Mistral Medium: 60.0 (#103)
| Benchmark | GLM-4.7-Flash | Mistral Medium |
|---|---|---|
| LMArena Text | 1351 | 1424 |
| LMArena Creative Writing | 1297 | 1391 |
| LMArena Multi-Turn | 1342 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Mistral Medium?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 36.3 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Mistral Medium?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is GLM-4.7-Flash or Mistral Medium better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Mistral Medium share?
19 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Medium has 36.