Model comparison
Claude Haiku 4.5 vs Mercury
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 5 categories and Mercury in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 57.9 to 46.2.
Side by side
| Claude Haiku 4.5 | Mercury | |
|---|---|---|
| Provider | Anthropic | Inception |
| Noometry Index | 39.5 | 37.6 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 9 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Mercury: 38.7 (#170)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Coding | 1453 | 1322 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Mercury: —
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| 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 Mercury leads
Claude Haiku 4.5: 15.1 (#320), Mercury: 17.5 (#293)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1285 |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 21.6% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |
Math Not comparable
Claude Haiku 4.5: 44.9 (#78), Mercury: —
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Not comparable
Claude Haiku 4.5: 37.7 (#153), Mercury: —
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Mercury: —
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Mercury: 41.6 (#206)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Non-English | 1377 | 1260 |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Mercury: 65.2 (#224)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Instruction Following | 1414 | 1239 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Mercury: 38.4 (#198)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Longer Query | 1427 | 1266 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Mercury: 46.2 (#221)
| Benchmark | Claude Haiku 4.5 | Mercury |
|---|---|---|
| LMArena Text | 1396 | 1282 |
| LMArena Creative Writing | 1372 | 1191 |
| LMArena Multi-Turn | 1409 | 1282 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Mercury?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.6 on the Noometry Index.
Is Claude Haiku 4.5 or Mercury better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 38.7 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Mercury share?
8 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Mercury has 9.