# Claude Sonnet 5.5 vs DeepSeek V4 Flash

> Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 53.6 on the Noometry Index. DeepSeek V4 Flash costs 15× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-5-5-vs-deepseek-v4-flash
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 8 categories and DeepSeek V4 Flash in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 60.3.
- The biggest single-benchmark swing is FrontierMath Tier 4: 80.5% for Claude Sonnet 5.5 and 24.4% for DeepSeek V4 Flash.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 61.9 | 53.6 |
| Rank | 10 | 35 |
| Context | 1M | 1M |
| Input $/M | $2 | $0.15 |
| Output $/M | $10 | $0.60 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 5.5: 67.3 (#6)
- DeepSeek V4 Flash: 47.9 (#59)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| FrontierCode | 52.1% | 18.8% |
| LMArena WebDev | 1774 | 1582 |
| SciCode | 61% | 49.9% |
| LMArena Coding | 1513 | 1457 |
| ALE-Bench | 1,819 | 1,306 |
| CursorBench | 55.5% | — |
| FrontierSWE | 61.9% | — |
| WeirdML | — | 63% |

## Agentic & Tool Use

- Claude Sonnet 5.5: 45.0 (#16)
- DeepSeek V4 Flash: —

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| APEX-Agents | 75.5% | — |

## Reasoning

- Claude Sonnet 5.5: 54.0 (#28)
- DeepSeek V4 Flash: 53.7 (#30)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| NYT Connections (extended) | 80.5% | 89.6% |
| CritPt | 31.4% | 16.6% |
| LMArena Hard Prompts | 1495 | 1444 |
| Mystery Game Puzzles | 65% | 34% |
| Epoch Capabilities Index | 165.03 | 154.49 |
| ARC-AGI-2 | — | 61.4% |
| SimpleBench | — | 61.1% |
| Kagi LLM Benchmark | — | 52.2% |
| ARC-AGI-1 | — | 89% |
| Chess Puzzles | — | 33% |
| DTBench | — | 90.9% |
| LMCA | — | 41.7% |

## Math

- Claude Sonnet 5.5: 87.9 (#6)
- DeepSeek V4 Flash: 60.3 (#37)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | 57.5% |
| FrontierMath Tier 4 | 80.5% | 24.4% |
| OTIS Mock AIME 2024-2025 | 100% | 94.4% |
| ProofBench | 100% | 56% |
| LMArena Math | 1510 | 1427 |
| MathArena Final-Answer Competitions | — | 76.5% |
| FrontierMath Erdős | 2.9% | — |

## Knowledge

- Claude Sonnet 5.5: 66.0 (#12)
- DeepSeek V4 Flash: 55.4 (#48)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| GPQA Diamond | 95.6% | 91% |
| SimpleQA Verified | 46.5% | 33.6% |
| LMArena Expert | 1540 | 1441 |

## Multimodal

- Claude Sonnet 5.5: 51.5 (#6)
- DeepSeek V4 Flash: —

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |

## Multilingual

- Claude Sonnet 5.5: 55.3 (#30)
- DeepSeek V4 Flash: 53.0 (#72)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | 1452 | 1420 |
| LMArena Chinese | 1522 | 1468 |
| LMArena Russian | 1451 | 1428 |
| LMArena French | — | 1439 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1406 |
| LMArena Korean | — | 1384 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Claude Sonnet 5.5: 78.3 (#11)
- DeepSeek V4 Flash: 74.9 (#81)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | 1495 | 1421 |

## Long Context

- Claude Sonnet 5.5: 45.9 (#28)
- DeepSeek V4 Flash: 43.8 (#85)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | 1498 | 1434 |

## Writing & Preference

- Claude Sonnet 5.5: 66.0 (#40)
- DeepSeek V4 Flash: 63.8 (#61)

| Benchmark | Claude Sonnet 5.5 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | 1471 | 1432 |
| LMArena Creative Writing | 1465 | 1403 |
| LMArena Multi-Turn | 1474 | 1449 |
| EQ-Bench Creative Writing | — | 1559 |

## FAQ

### Is Claude Sonnet 5.5 better than DeepSeek V4 Flash?

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 53.6 on the Noometry Index. DeepSeek V4 Flash costs 15× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.

### Which is cheaper, Claude Sonnet 5.5 or DeepSeek V4 Flash?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.

### Is Claude Sonnet 5.5 or DeepSeek V4 Flash better for coding?

Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 47.9 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1M tokens.

### How many benchmarks do Claude Sonnet 5.5 and DeepSeek V4 Flash share?

26 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and DeepSeek V4 Flash has 41.