Model comparison
DeepSeek-V3.1-Terminus vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 8.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and GPT-6 Sol in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 25.7.
- DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | GPT-6 Sol | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 42.6 | 49.2 |
| Released | 2025-09-22 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.30 | $2 |
| Output $ / M tokens | $1 | $10 |
| Results tracked | 16 | 22 |
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Category by category
Coding GPT-6 Sol leads
DeepSeek-V3.1-Terminus: 41.5 (#114), GPT-6 Sol: 59.6 (#11)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1426 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1-Terminus: —, GPT-6 Sol: 33.5 (#49)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
DeepSeek-V3.1-Terminus: 25.7 (#126), GPT-6 Sol: 49.3 (#34)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1420 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 90.1% |
| CritPt | 1.7% | — |
| EBR-Bench | — | 53.3% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Too close to call
DeepSeek-V3.1-Terminus: 35.7 (#138), GPT-6 Sol: 35.8 (#135)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1402 | 1404 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, GPT-6 Sol: 43.0 (#87)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | — | 6.5% |
| LMArena Expert | — | 1449 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, GPT-6 Sol: 47.6 (#9)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.3 (#87), GPT-6 Sol: 51.0 (#113)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1407 | 1389 |
| LMArena Russian | 1434 | 1407 |
| LMArena Chinese | — | 1416 |
| LMArena Spanish | — | 1377 |
Instruction Following Too close to call
DeepSeek-V3.1-Terminus: 74.4 (#96), GPT-6 Sol: 74.4 (#97)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1406 | 1406 |
Long Context Too close to call
DeepSeek-V3.1-Terminus: 43.5 (#88), GPT-6 Sol: 43.2 (#100)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1426 | 1415 |
Writing & Preference GPT-6 Sol leads
DeepSeek-V3.1-Terminus: 61.3 (#87), GPT-6 Sol: 72.3 (#15)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1420 | 1396 |
| LMArena Creative Writing | 1404 | 1392 |
| LMArena Multi-Turn | 1411 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 8.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1-Terminus or GPT-6 Sol?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is DeepSeek-V3.1-Terminus or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 41.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and GPT-6 Sol share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GPT-6 Sol has 22.