# Claude Haiku 4.5 vs Inkling

> Inkling is the stronger model overall, scoring 44.1 to 39.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-haiku-4-5-vs-inkling
- Last updated: 2026-10-10
- Shared benchmarks: 32

## Summary

- They share 32 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 3 categories and Inkling in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.6 to 15.1.
- The biggest single-benchmark swing is ARC-AGI-2: 4% for Claude Haiku 4.5 and 36.5% for Inkling.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Claude Haiku 4.5 accepts more context: 200K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 4.5 | Inkling |
|---|---|---|
| Provider | Anthropic | Thinking Machines Lab |
| Noometry Index | 39.3 | 44.1 |
| Rank | 155 | 75 |
| Context | 200K | 66K |
| Input $/M | $1 | $1.87 |
| Output $/M | $5 | $4.68 |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 4.5: 43.9 (#71)
- Inkling: 34.1 (#229)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| LMArena WebDev | 1330 | 1412 |
| SciCode | 43.3% | 47% |
| WeirdML | 45.4% | 32.3% |
| LMArena Coding | 1454 | 1463 |
| ALE-Bench | 653.48 | 946 |
| FrontierCode | — | 14% |
| SWE-bench Verified (bash only) | 66.6% | — |
| SWE-bench Multilingual | 64.7% | — |
| FrontierSWE | — | 4.1% |

## Agentic & Tool Use

- Claude Haiku 4.5: 33.5 (#50)
- Inkling: 29.5 (#76)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| APEX-Agents | — | 33.8% |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| τ²-bench Banking | — | 25% |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |

## Reasoning

- Claude Haiku 4.5: 15.1 (#310)
- Inkling: 40.6 (#48)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| ARC-AGI-2 | 4% | 36.5% |
| ARC-AGI-1 | 47.7% | 79.5% |
| CritPt | 0% | 5.4% |
| Chess Puzzles | 8% | 21% |
| LMArena Hard Prompts | 1420 | 1452 |
| DTBench | 73.6% | 87.5% |
| LMCA | 30.9% | 37.6% |
| Epoch Capabilities Index | 142.42 | 148.6 |
| SimpleBench | — | 50% |
| NYT Connections (extended) | 14.3% | — |
| ForecastBench | 61.4 | — |

## Math

- Claude Haiku 4.5: 43.0 (#69)
- Inkling: 31.2 (#198)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 88.9% |
| LMArena Math | 1395 | 1482 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- Claude Haiku 4.5: 37.6 (#146)
- Inkling: 55.2 (#44)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| GPQA Diamond | 71.2% | 88.3% |
| SimpleQA Verified | 13.2% | 40.3% |
| LMArena Expert | 1443 | 1468 |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |

## Multimodal

- Claude Haiku 4.5: 27.0 (#111)
- Inkling: —

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |

## Multilingual

- Claude Haiku 4.5: 50.1 (#124)
- Inkling: 54.2 (#49)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| LMArena Non-English | 1376 | 1434 |
| LMArena Chinese | 1415 | 1495 |
| LMArena French | 1408 | 1453 |
| LMArena German | 1377 | 1456 |
| LMArena Japanese | 1339 | 1428 |
| LMArena Korean | 1346 | 1401 |
| LMArena Russian | 1380 | 1430 |
| LMArena Spanish | 1420 | 1442 |

## Instruction Following

- Claude Haiku 4.5: 71.6 (#144)
- Inkling: 75.3 (#65)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| LMArena Instruction Following | 1414 | 1427 |
| IFEval | 80.1% | — |

## Long Context

- Claude Haiku 4.5: 43.6 (#86)
- Inkling: 43.9 (#79)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| LMArena Longer Query | 1427 | 1436 |

## Writing & Preference

- Claude Haiku 4.5: 58.1 (#119)
- Inkling: 65.5 (#48)

| Benchmark | Claude Haiku 4.5 | Inkling |
|---|---|---|
| LMArena Text | 1396 | 1443 |
| LMArena Creative Writing | 1371 | 1390 |
| EQ-Bench 4 | 1064 | 1226 |
| LMArena Multi-Turn | 1409 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| WildBench | 83.9% | — |

## FAQ

### Is Claude Haiku 4.5 better than Inkling?

Inkling is the stronger model overall, scoring 44.1 to 39.3 on the Noometry Index.

### Which is cheaper, Claude Haiku 4.5 or Inkling?

Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; Inkling lists at $1.87 and $4.68.

### Is Claude Haiku 4.5 or Inkling better for coding?

Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Claude Haiku 4.5 does, with 200K tokens against 66K.

### How many benchmarks do Claude Haiku 4.5 and Inkling share?

32 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Inkling has 41.