# Claude Opus 4 vs DeepSeek-V3.1-Terminus

> Claude Opus 4 and DeepSeek-V3.1-Terminus score almost the same on the Noometry Index (43.1 vs 43.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/claude-opus-4-vs-deepseek-v3-1-terminus
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Claude Opus 4 scores higher in 5 categories and DeepSeek-V3.1-Terminus in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Opus 4 leads 47.2 to 42.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 74.3% for Claude Opus 4 and 57.4% for DeepSeek-V3.1-Terminus.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 43.1 | 43.1 |
| Rank | 100 | 97 |
| Context | 200K | 164K |
| Input $/M | $15 | $0.27 |
| Output $/M | $75 | $1 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4: 47.2 (#62)
- DeepSeek-V3.1-Terminus: 42.0 (#113)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Coding | 1442 | 1426 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| SciCode | — | 40.6% |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | — | 745.17 |
| AlgoTune | 1.33 | — |

## Agentic & Tool Use

- Claude Opus 4: 34.8 (#42)
- DeepSeek-V3.1-Terminus: —

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |

## Reasoning

- Claude Opus 4: 27.3 (#121)
- DeepSeek-V3.1-Terminus: 26.4 (#133)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Kagi LLM Benchmark | 74.3% | 57.4% |
| CritPt | 0.3% | 1.7% |
| LMArena Hard Prompts | 1399 | 1426 |
| DTBench | 81.6% | 81.3% |
| LMCA | 37.4% | 28.6% |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| ARC-AGI-1 | 35.7% | — |
| EnigmaEval | 5.6% | — |
| Epoch Capabilities Index | 142.67 | — |
| ForecastBench | 61.1 | — |

## Math

- Claude Opus 4: 42.0 (#86)
- DeepSeek-V3.1-Terminus: 38.5 (#137)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Math | 1390 | 1402 |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4: 44.0 (#88)
- DeepSeek-V3.1-Terminus: —

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| GPQA Diamond | 76.3% | — |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
| LMArena Expert | 1386 | — |

## Multimodal

- Claude Opus 4: 31.5 (#106)
- DeepSeek-V3.1-Terminus: —

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |

## Multilingual

- Claude Opus 4: 48.8 (#138)
- DeepSeek-V3.1-Terminus: 52.1 (#92)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Non-English | 1362 | 1407 |
| LMArena Russian | 1392 | 1436 |
| LMArena Chinese | 1386 | — |
| LMArena French | 1372 | — |
| LMArena German | 1391 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1321 | — |
| LMArena Spanish | 1389 | — |

## Instruction Following

- Claude Opus 4: 77.1 (#28)
- DeepSeek-V3.1-Terminus: 74.0 (#106)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Instruction Following | 1406 | 1404 |
| IFEval | 91.8% | — |

## Long Context

- Claude Opus 4: 39.6 (#172)
- DeepSeek-V3.1-Terminus: 43.4 (#97)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Longer Query | 1422 | 1421 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Claude Opus 4: 61.2 (#89)
- DeepSeek-V3.1-Terminus: 61.0 (#92)

| Benchmark | Claude Opus 4 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Text | 1377 | 1419 |
| LMArena Creative Writing | 1387 | 1403 |
| LMArena Multi-Turn | 1396 | 1411 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |

## FAQ

### Is Claude Opus 4 better than DeepSeek-V3.1-Terminus?

Claude Opus 4 and DeepSeek-V3.1-Terminus score almost the same on the Noometry Index (43.1 vs 43.1), so choose on price, context window or the category you care about most.

### Which is cheaper, Claude Opus 4 or DeepSeek-V3.1-Terminus?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Claude Opus 4 lists at $15 and $75.

### Is Claude Opus 4 or DeepSeek-V3.1-Terminus better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 42.0 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4 does, with 200K tokens against 164K.

### How many benchmarks do Claude Opus 4 and DeepSeek-V3.1-Terminus share?

14 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and DeepSeek-V3.1-Terminus has 16.