Model comparison
GLM-4.7-Flash vs Yi-Lightning
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 36.5 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 6 categories and Yi-Lightning in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.7-Flash leads 40.0 to 27.0.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Yi-Lightning | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 38.4 | 36.5 |
| Released | 2026-01-19 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 18 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.0 (#133), Yi-Lightning: 27.0 (#315)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1383 | 1313 |
| Aider Polyglot | — | 12.9% |
Reasoning Yi-Lightning leads
GLM-4.7-Flash: 20.2 (#224), Yi-Lightning: 24.9 (#137)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1302 |
| Chess Puzzles | 0% | — |
Math Too close to call
GLM-4.7-Flash: 34.4 (#159), Yi-Lightning: 33.5 (#173)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Math | 1354 | 1300 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Too close to call
GLM-4.7-Flash: 35.4 (#177), Yi-Lightning: 34.8 (#182)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1357 | 1286 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.8 (#152), Yi-Lightning: 42.4 (#191)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1331 | 1269 |
| LMArena Chinese | 1403 | 1320 |
| LMArena French | 1332 | 1304 |
| LMArena German | 1336 | 1267 |
| LMArena Korean | 1284 | 1192 |
| LMArena Russian | 1333 | 1255 |
| LMArena Spanish | 1351 | 1315 |
| LMArena Japanese | — | 1228 |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.3 (#162), Yi-Lightning: 67.6 (#191)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1327 | 1278 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#143), Yi-Lightning: 39.4 (#176)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1345 | 1297 |
Writing & Preference Yi-Lightning leads
GLM-4.7-Flash: 47.7 (#206), Yi-Lightning: 50.4 (#178)
| Benchmark | GLM-4.7-Flash | Yi-Lightning |
|---|---|---|
| LMArena Text | 1351 | 1302 |
| LMArena Creative Writing | 1297 | 1280 |
| LMArena Multi-Turn | 1342 | 1311 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Yi-Lightning?
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 36.5 on the Noometry Index.
Is GLM-4.7-Flash or Yi-Lightning better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 27.0 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Yi-Lightning share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Yi-Lightning has 18.