Model comparison
GLM-4.7-Flash vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 2 categories and Mistral Medium 3.5 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 200K.
Side by side
| GLM-4.7-Flash | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 40.2 |
| Released | 2026-01-19 | — |
| Weights | Open | Open |
| Context window | 200K | 262K |
| Max output | 131K | 210K |
| Input $ / M tokens | $0.06 | $1.50 |
| Output $ / M tokens | $0.40 | $7.50 |
| Results tracked | 21 | 22 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1383 | 1461 |
| LMArena WebDev | — | 1264 |
Reasoning GLM-4.7-Flash leads
GLM-4.7-Flash: 20.9 (#229), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | — | 141.35 |
Math Mistral Medium 3.5 leads
GLM-4.7-Flash: 36.1 (#173), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1355 | 1431 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Mistral Medium 3.5 leads
GLM-4.7-Flash: 35.5 (#184), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1357 | 1432 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
GLM-4.7-Flash: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
GLM-4.7-Flash: 46.5 (#158), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1330 | 1404 |
| LMArena Chinese | 1403 | 1442 |
| LMArena French | 1332 | 1448 |
| LMArena German | 1337 | 1451 |
| LMArena Korean | 1283 | 1385 |
| LMArena Russian | 1332 | 1395 |
| LMArena Spanish | 1350 | 1409 |
Instruction Following Mistral Medium 3.5 leads
GLM-4.7-Flash: 70.1 (#167), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1415 |
Long Context Mistral Medium 3.5 leads
GLM-4.7-Flash: 40.9 (#148), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1345 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
GLM-4.7-Flash: 47.4 (#210), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1351 | 1421 |
| LMArena Creative Writing | 1297 | 1374 |
| LMArena Multi-Turn | 1342 | 1423 |
| EQ-Bench Creative Writing | 1125 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is GLM-4.7-Flash better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or Mistral Medium 3.5?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is GLM-4.7-Flash or Mistral Medium 3.5 better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Mistral Medium 3.5 share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Medium 3.5 has 22.