Model comparison
GPT-4 Turbo vs Ring-2.6-1T
GPT-4 Turbo has enough public results to be ranked (#281); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Ant Group (inclusionAI)Summary
- The widest gap is in reasoning, where Ring-2.6-1T leads 25.3 to 14.9.
- Ring-2.6-1T has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Ring-2.6-1T | |
|---|---|---|
| Provider | OpenAI | Ant Group (inclusionAI) |
| Noometry Index | 30.3 | 36.3 |
| Released | 2023-11-06 | 2026-05-14 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 3 |
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Category by category
Coding Ring-2.6-1T leads
GPT-4 Turbo: 33.4 (#247), Ring-2.6-1T: 40.1
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| SciCode | — | 42.4% |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 58.2% | — |
| ALE-Bench | — | 432.57 |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Ring-2.6-1T leads
GPT-4 Turbo: 14.9 (#311), Ring-2.6-1T: 25.3
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| SimpleBench | 25.1% | — |
| CritPt | — | 3.7% |
| Chess Puzzles | 6% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Not comparable
GPT-4 Turbo: 8.6 (#316), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| LMArena Math | 1272 | — |
| MATH Level 5 | 46.7% | — |
Knowledge Not comparable
GPT-4 Turbo: 24.3 (#263), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.0 (#104), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Not comparable
GPT-4 Turbo: 40.7 (#211), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1275 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Not comparable
GPT-4 Turbo: 66.0 (#211), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| LMArena Instruction Following | 1250 | — |
Long Context Not comparable
GPT-4 Turbo: 38.0 (#200), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| LMArena Longer Query | 1254 | — |
Writing & Preference Not comparable
GPT-4 Turbo: 47.9 (#201), Ring-2.6-1T: —
| Benchmark | GPT-4 Turbo | Ring-2.6-1T |
|---|---|---|
| LMArena Text | 1272 | — |
| LMArena Creative Writing | 1269 | — |
| LMArena Multi-Turn | 1267 | — |
Frequently asked questions
Is GPT-4 Turbo better than Ring-2.6-1T?
GPT-4 Turbo has enough public results to be ranked (#281); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is GPT-4 Turbo or Ring-2.6-1T better for coding?
Ring-2.6-1T scores higher on coding benchmarks: 40.1 versus 33.4 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Ring-2.6-1T share?
0 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Ring-2.6-1T has 3.