Model comparison
Claude Haiku 4.5 vs Gemini 1.5 Flash (May 2024)
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 33.2 on the Noometry Index.
Last verified . 31 shared benchmarks.
GoogleSummary
- They share 31 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 8 categories and Gemini 1.5 Flash (May 2024) in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 22.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 16.3% for Gemini 1.5 Flash (May 2024).
Side by side
| Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 39.5 | 33.2 |
| Released | 2025-10-15 | 2024-05-14 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 42 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Gemini 1.5 Flash (May 2024): 34.4 (#236)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| WeirdML | 45.4% | 24.9% |
| LMArena Coding | 1453 | 1261 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| BigCodeBench Instruct | — | 43.5% |
| BigCodeBench Complete | — | 55.1% |
| ALE-Bench | 653.48 | — |
| HumanEval+ | — | 75.6% |
| MBPP+ | — | 67.5% |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), Gemini 1.5 Flash (May 2024): 26.6 (#102)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | 31.2% | 14.6% |
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Claude Haiku 4.5: 15.1 (#320), Gemini 1.5 Flash (May 2024): 21.7 (#215)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1257 |
| DTBench | 73.6% | 53.8% |
| Epoch Capabilities Index | 142.41 | 129.36 |
| ForecastBench | 61.4 | 53.9 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| LMCA | 30.9% | — |
| PIQA | — | 87.5% |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Gemini 1.5 Flash (May 2024): 22.1 (#281)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 16.3% |
| Omni-MATH | 56.1% | 30.4% |
| LMArena Math | 1396 | 1269 |
| MATH Level 5 | 96.4% | 61.9% |
| FrontierMath (Feb 2025 set) | 5.9% | 0% |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 82.4% |
Knowledge Claude Haiku 4.5 leads
Claude Haiku 4.5: 37.7 (#153), Gemini 1.5 Flash (May 2024): 26.2 (#260)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| GPQA Diamond | 71.2% | 47.3% |
| MMLU-Pro | 77.7% | 67.8% |
| GPQA (HELM) | 60.5% | 43.7% |
| LMArena Expert | 1442 | 1233 |
| SimpleQA Verified | 13.2% | — |
| Vectara Hallucination Rate | 9.8% | — |
| BoolQ | — | 85.8% |
| MMLU | — | 77.9% |
Multimodal Gemini 1.5 Flash (May 2024) leads
Claude Haiku 4.5: 26.8 (#118), Gemini 1.5 Flash (May 2024): 36.0 (#81)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Gemini 1.5 Flash (May 2024): 42.9 (#189)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | 1377 | 1278 |
| LMArena Chinese | 1417 | 1295 |
| LMArena French | 1408 | 1258 |
| LMArena German | 1375 | 1262 |
| LMArena Japanese | 1339 | 1252 |
| LMArena Korean | 1347 | 1221 |
| LMArena Russian | 1381 | 1288 |
| LMArena Spanish | 1420 | 1243 |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Gemini 1.5 Flash (May 2024): 66.8 (#205)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| IFEval | 80.1% | 83.1% |
| LMArena Instruction Following | 1414 | 1258 |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Gemini 1.5 Flash (May 2024): 39.0 (#187)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | 1427 | 1284 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Gemini 1.5 Flash (May 2024): 48.7 (#196)
| Benchmark | Claude Haiku 4.5 | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | 1396 | 1287 |
| LMArena Creative Writing | 1372 | 1285 |
| WildBench | 83.9% | 79.2% |
| LMArena Multi-Turn | 1409 | 1253 |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Gemini 1.5 Flash (May 2024)?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 33.2 on the Noometry Index.
Is Claude Haiku 4.5 or Gemini 1.5 Flash (May 2024) better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 34.4 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Gemini 1.5 Flash (May 2024) share?
31 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.