Model comparison
GLM-5V-Turbo vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 2.1× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-5V-Turbo scores higher in 3 categories and GPT-6 Sol in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 39.4.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 200K.
Side by side
| GLM-5V-Turbo | GPT-6 Sol | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 61.8 |
| Released | 2026-04-01 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 131K | 128K |
| Input $ / M tokens | $1.20 | $2 |
| Output $ / M tokens | $4 | $10 |
| Results tracked | 19 | 45 |
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Category by category
Coding GPT-6 Sol leads
GLM-5V-Turbo: 42.1 (#111), GPT-6 Sol: 60.1 (#11)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena WebDev | 1401 | 1688 |
| LMArena Coding | 1466 | 1447 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| SciCode | — | 57.6% |
| ALE-Bench | — | 2,462 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, GPT-6 Sol: 37.2 (#36)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| APEX-Agents | — | 54.3% |
| GDP.pdf | — | 26.4% |
| Vending-Bench 2 | — | 14,428 |
Reasoning GPT-6 Sol leads
GLM-5V-Turbo: 29.7 (#89), GPT-6 Sol: 74.0 (#9)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1418 |
| ARC-AGI-2 | — | 89.6% |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 30.9% |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | — | 56% |
| DTBench | — | 97.3% |
| LMCA | — | 59.1% |
| Epoch Capabilities Index | — | 162.72 |
Math GPT-6 Sol leads
GLM-5V-Turbo: 39.4 (#106), GPT-6 Sol: 87.2 (#7)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1441 | 1402 |
| FrontierMath (Tiers 1-3) | — | 89.8% |
| FrontierMath Tier 4 | — | 90% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 83% |
Knowledge GPT-6 Sol leads
GLM-5V-Turbo: 40.6 (#117), GPT-6 Sol: 64.8 (#15)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1452 | 1439 |
| GPQA Diamond | — | 94.3% |
| SimpleQA Verified | — | 60.7% |
| Vectara Hallucination Rate | — | 6.5% |
Multimodal GPT-6 Sol leads
GLM-5V-Turbo: 40.9 (#42), GPT-6 Sol: 47.6 (#10)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1264 | 1245 |
| Blueprint-Bench 2 | — | 36.9% |
| Furniture Assembly | — | 58.3% |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), GPT-6 Sol: 50.5 (#118)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1420 | 1385 |
| LMArena Chinese | 1488 | 1405 |
| LMArena French | 1444 | 1410 |
| LMArena German | 1423 | 1390 |
| LMArena Korean | 1396 | 1341 |
| LMArena Russian | 1431 | 1401 |
| LMArena Spanish | 1450 | 1384 |
| LMArena Japanese | — | 1385 |
Instruction Following Too close to call
GLM-5V-Turbo: 75.0 (#80), GPT-6 Sol: 74.5 (#94)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1423 | 1412 |
Long Context Too close to call
GLM-5V-Turbo: 44.0 (#80), GPT-6 Sol: 43.1 (#108)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1438 | 1411 |
Writing & Preference GPT-6 Sol leads
GLM-5V-Turbo: 62.5 (#73), GPT-6 Sol: 71.9 (#18)
| Benchmark | GLM-5V-Turbo | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1437 | 1395 |
| LMArena Creative Writing | 1416 | 1378 |
| LMArena Multi-Turn | 1432 | 1412 |
| EQ-Bench Creative Writing | — | 2125 |
Frequently asked questions
Is GLM-5V-Turbo better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 2.1× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or GPT-6 Sol?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GLM-5V-Turbo or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 200K.
How many benchmarks do GLM-5V-Turbo and GPT-6 Sol share?
18 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-6 Sol has 45.