Model comparison
GLM-5V-Turbo vs gpt-oss-20b
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 32.5 on the Noometry Index. gpt-oss-20b costs 53× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and gpt-oss-20b in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 35.5.
- gpt-oss-20b is cheaper at $0.018 / $0.09 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-20b has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | gpt-oss-20b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 32.5 |
| Released | 2026-04-01 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.20 | $0.018 |
| Output $ / M tokens | $4 | $0.09 |
| Results tracked | 19 | 34 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), gpt-oss-20b: 37.6 (#192)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1466 | 1306 |
| LMArena WebDev | 1401 | — |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), gpt-oss-20b: 19.3 (#261)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1274 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.82 |
Math Too close to call
GLM-5V-Turbo: 39.4 (#106), gpt-oss-20b: 39.4 (#103)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1441 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), gpt-oss-20b: 34.6 (#195)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 1452 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), gpt-oss-20b: —
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), gpt-oss-20b: 42.2 (#197)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1420 | 1268 |
| LMArena Chinese | 1488 | 1314 |
| LMArena German | 1423 | 1255 |
| LMArena Korean | 1396 | 1236 |
| LMArena Russian | 1431 | 1278 |
| LMArena Spanish | 1450 | 1267 |
| LMArena French | 1444 | — |
| LMArena Japanese | — | 1244 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), gpt-oss-20b: 61.8 (#240)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1423 | 1236 |
| IFEval | — | 73.2% |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), gpt-oss-20b: 37.9 (#209)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1438 | 1250 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), gpt-oss-20b: 35.5 (#265)
| Benchmark | GLM-5V-Turbo | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1437 | 1287 |
| LMArena Creative Writing | 1416 | 1201 |
| LMArena Multi-Turn | 1432 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
Frequently asked questions
Is GLM-5V-Turbo better than gpt-oss-20b?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 32.5 on the Noometry Index. gpt-oss-20b costs 53× 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-20b?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or gpt-oss-20b better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.6 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-20b share?
15 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and gpt-oss-20b has 34.