# 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.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- 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.

## Snapshot

| | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 42.6 | 49.2 |
| Rank | 96 | 46 |
| Context | 164K | 1.05M |
| Input $/M | $0.30 | $2 |
| Output $/M | $1 | $10 |
| Weights | Open | Proprietary |

## Coding

- 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

- DeepSeek-V3.1-Terminus: —
- GPT-6 Sol: 33.5 (#49)

| Benchmark | DeepSeek-V3.1-Terminus | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |

## Reasoning

- 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

- 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

- 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

- 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: 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

- 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

- 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

- 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 |

## FAQ

### 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.