Model comparison
GLM-4.7-Flash vs Pixtral Large
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GLM-4.7-Flash scores higher in 1 category and Pixtral Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.7-Flash leads 47.4 to 32.9.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $6 for Pixtral Large.
- GLM-4.7-Flash accepts more context: 200K tokens versus 128K.
Side by side
| GLM-4.7-Flash | Pixtral Large | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 32.2 |
| Released | 2026-01-19 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 200K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.06 | $2 |
| Output $ / M tokens | $0.40 | $6 |
| Results tracked | 21 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning Too close to call
GLM-4.7-Flash: 20.9 (#229), Pixtral Large: 21.7 (#218)
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1356 | — |
Math Not comparable
GLM-4.7-Flash: 36.1 (#173), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
Knowledge Not comparable
GLM-4.7-Flash: 35.5 (#184), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multimodal Not comparable
GLM-4.7-Flash: —, Pixtral Large: 30.6 (#111)
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |
Instruction Following Not comparable
GLM-4.7-Flash: 70.1 (#167), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), Pixtral Large: —
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Pixtral Large: 32.9 (#278)
| Benchmark | GLM-4.7-Flash | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1125 | 988 |
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Pixtral Large?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.2 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or Pixtral Large?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
GLM-4.7-Flash does, with 200K tokens against 128K.
How many benchmarks do GLM-4.7-Flash and Pixtral Large share?
1 benchmark has published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Pixtral Large has 3.