Model comparison
Claude 3.5 Haiku vs Inkling
Inkling is the stronger model overall, scoring 44.1 to 29.2 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Inkling in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 18.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 88.9% for Inkling.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Inkling | |
|---|---|---|
| Provider | Anthropic | Thinking Machines Lab |
| Noometry Index | 29.2 | 44.1 |
| Released | 2024-10-22 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | — | 66K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.87 |
| Output $ / M tokens | — | $4.68 |
| Results tracked | 49 | 41 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Inkling leads
Claude 3.5 Haiku: 32.9 (#265), Inkling: 34.5 (#234)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| SciCode | 27.4% | 47% |
| WeirdML | 30.7% | 32.3% |
| LMArena Coding | 1286 | 1464 |
| FrontierCode | — | 14% |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1413 |
| FrontierSWE | — | 4.1% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 946 |
Agentic & Tool Use Inkling leads
Claude 3.5 Haiku: 28.0 (#95), Inkling: 29.6 (#85)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
| BALROG | 19.3% | — |
Reasoning Inkling leads
Claude 3.5 Haiku: 17.7 (#290), Inkling: 40.4 (#56)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| CritPt | 0% | 5.4% |
| LMArena Hard Prompts | 1251 | 1451 |
| DTBench | 56.7% | 87.5% |
| Epoch Capabilities Index | 127.15 | 148.54 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| ARC-AGI-1 | — | 79.5% |
| Chess Puzzles | — | 21% |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 37.6% |
| LiveBench | 43.5% | — |
Math Inkling leads
Claude 3.5 Haiku: 14.7 (#300), Inkling: 31.3 (#225)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 88.9% |
| LMArena Math | 1244 | 1479 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Inkling leads
Claude 3.5 Haiku: 18.7 (#281), Inkling: 55.1 (#49)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| GPQA Diamond | 38.1% | 88.3% |
| LMArena Expert | 1208 | 1465 |
| SimpleQA Verified | — | 40.3% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Inkling: —
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Inkling leads
Claude 3.5 Haiku: 40.0 (#218), Inkling: 54.0 (#52)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| LMArena Non-English | 1238 | 1434 |
| LMArena Chinese | 1229 | 1490 |
| LMArena French | 1264 | 1458 |
| LMArena German | 1237 | 1446 |
| LMArena Japanese | 1175 | 1429 |
| LMArena Korean | 1173 | 1404 |
| LMArena Russian | 1253 | 1429 |
| LMArena Spanish | 1261 | 1448 |
Instruction Following Inkling leads
Claude 3.5 Haiku: 62.9 (#234), Inkling: 75.1 (#71)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| LMArena Instruction Following | 1241 | 1426 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Inkling leads
Claude 3.5 Haiku: 38.3 (#200), Inkling: 43.8 (#86)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| LMArena Longer Query | 1261 | 1434 |
Writing & Preference Inkling leads
Claude 3.5 Haiku: 42.7 (#234), Inkling: 65.2 (#51)
| Benchmark | Claude 3.5 Haiku | Inkling |
|---|---|---|
| LMArena Text | 1255 | 1441 |
| LMArena Creative Writing | 1233 | 1387 |
| EQ-Bench Creative Writing | 1146 | 1611 |
| LMArena Multi-Turn | 1265 | 1436 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| EQ-Bench 4 | — | 1226 |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Inkling?
Inkling is the stronger model overall, scoring 44.1 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Inkling better for coding?
Inkling scores higher on coding benchmarks: 34.5 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Inkling share?
25 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Inkling has 41.