Model comparison
GLM-5V-Turbo vs gpt-oss-120b
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 36.3 on the Noometry Index. gpt-oss-120b costs 27× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 6 categories and gpt-oss-120b in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 46.5.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 131K.
- gpt-oss-120b has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | gpt-oss-120b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 36.3 |
| Released | 2026-04-01 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 131K | 41K |
| Input $ / M tokens | $1.20 | $0.037 |
| Output $ / M tokens | $4 | $0.17 |
| Results tracked | 19 | 48 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), gpt-oss-120b: 33.5 (#256)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1466 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| LMArena WebDev | 1401 | — |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, gpt-oss-120b: 12.2 (#153)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), gpt-oss-120b: 20.0 (#245)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1364 |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| Epoch Capabilities Index | — | 139.93 |
Math gpt-oss-120b leads
GLM-5V-Turbo: 39.4 (#106), gpt-oss-120b: 52.5 (#50)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Math | 1441 | 1389 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
Knowledge gpt-oss-120b leads
GLM-5V-Turbo: 40.6 (#117), gpt-oss-120b: 42.4 (#96)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Expert | 1452 | 1356 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), gpt-oss-120b: —
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), gpt-oss-120b: 48.0 (#147)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1420 | 1351 |
| LMArena Chinese | 1488 | 1385 |
| LMArena French | 1444 | 1369 |
| LMArena German | 1423 | 1353 |
| LMArena Korean | 1396 | 1282 |
| LMArena Russian | 1431 | 1343 |
| LMArena Spanish | 1450 | 1389 |
| LMArena Japanese | — | 1331 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), gpt-oss-120b: 69.3 (#173)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1423 | 1318 |
| IFEval | — | 83.6% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), gpt-oss-120b: 31.4 (#278)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1438 | 1319 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), gpt-oss-120b: 46.5 (#217)
| Benchmark | GLM-5V-Turbo | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1437 | 1365 |
| LMArena Creative Writing | 1416 | 1275 |
| LMArena Multi-Turn | 1432 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
Frequently asked questions
Is GLM-5V-Turbo better than gpt-oss-120b?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 36.3 on the Noometry Index. gpt-oss-120b costs 27× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or gpt-oss-120b?
gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or gpt-oss-120b better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 131K.
How many benchmarks do GLM-5V-Turbo and gpt-oss-120b share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and gpt-oss-120b has 48.