Model comparison
Claude Haiku 4.5 vs DeepSeek Coder 33B
Claude Haiku 4.5 has enough public results to be ranked (#155); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. Claude Haiku 4.5 scores higher in 1 category and DeepSeek Coder 33B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude Haiku 4.5 leads 43.9 to 37.4.
- DeepSeek Coder 33B has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | DeepSeek Coder 33B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.3 | 38.3 |
| Released | 2025-10-15 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 9 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.9 (#71), DeepSeek Coder 33B: 37.4 (#180)
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| BigCodeBench Instruct | — | 42% |
| LMArena Coding | 1454 | — |
| BigCodeBench Complete | — | 51.1% |
| ALE-Bench | 653.48 | — |
| HumanEval+ | — | 75% |
| MBPP+ | — | 70.1% |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.5 (#50), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Not comparable
Claude Haiku 4.5: 15.1 (#310), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| Epoch Capabilities Index | 142.42 | 95.74 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| LMArena Hard Prompts | 1420 | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| ForecastBench | 61.4 | — |
| WinoGrande | — | 62% |
Math Not comparable
Claude Haiku 4.5: 43.0 (#69), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1395 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 35.4% |
Knowledge Not comparable
Claude Haiku 4.5: 37.6 (#146), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1443 | — |
| ARC (AI2) Challenge | — | 42.2% |
| MMLU | — | 39.4% |
Multimodal Not comparable
Claude Haiku 4.5: 27.0 (#111), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 50.1 (#124), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| LMArena Non-English | 1376 | — |
| LMArena Chinese | 1415 | — |
| LMArena French | 1408 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1380 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.6 (#144), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#86), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Not comparable
Claude Haiku 4.5: 58.1 (#119), DeepSeek Coder 33B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 33B |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1371 | — |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than DeepSeek Coder 33B?
Claude Haiku 4.5 has enough public results to be ranked (#155); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Is Claude Haiku 4.5 or DeepSeek Coder 33B better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 37.4 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and DeepSeek Coder 33B share?
1 benchmark has published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and DeepSeek Coder 33B has 9.