Model comparison
Claude Haiku 4.5 vs Ring-2.6-1T
Claude Haiku 4.5 has enough public results to be ranked (#155); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Ant Group (inclusionAI)Summary
- They share 3 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 1 category and Ring-2.6-1T in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Ring-2.6-1T leads 25.3 to 15.1.
- Ring-2.6-1T has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Ring-2.6-1T | |
|---|---|---|
| Provider | Anthropic | Ant Group (inclusionAI) |
| Noometry Index | 39.3 | 36.3 |
| Released | 2025-10-15 | 2026-05-14 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 3 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.9 (#71), Ring-2.6-1T: 40.1
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| SciCode | 43.3% | 42.4% |
| ALE-Bench | 653.48 | 432.57 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| WeirdML | 45.4% | — |
| LMArena Coding | 1454 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.5 (#50), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| 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 Ring-2.6-1T leads
Claude Haiku 4.5: 15.1 (#310), Ring-2.6-1T: 25.3
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| CritPt | 0% | 3.7% |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| Chess Puzzles | 8% | — |
| LMArena Hard Prompts | 1420 | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| Epoch Capabilities Index | 142.42 | — |
| ForecastBench | 61.4 | — |
Math Not comparable
Claude Haiku 4.5: 43.0 (#69), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| 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% | — |
Knowledge Not comparable
Claude Haiku 4.5: 37.6 (#146), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1443 | — |
Multimodal Not comparable
Claude Haiku 4.5: 27.0 (#111), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 50.1 (#124), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| 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), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#86), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Not comparable
Claude Haiku 4.5: 58.1 (#119), Ring-2.6-1T: —
| Benchmark | Claude Haiku 4.5 | Ring-2.6-1T |
|---|---|---|
| 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 Ring-2.6-1T?
Claude Haiku 4.5 has enough public results to be ranked (#155); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is Claude Haiku 4.5 or Ring-2.6-1T better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 40.1 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Ring-2.6-1T share?
3 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Ring-2.6-1T has 3.