Model comparison
Claude 3 Haiku vs GPT-5.6 Terra
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 25.9 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GPT-5.6 Terra in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 9.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 99.7% for GPT-5.6 Terra.
Side by side
| Claude 3 Haiku | GPT-5.6 Terra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 25.9 | 59.2 |
| Released | 2024-03-07 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $12 |
| Results tracked | 37 | 52 |
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Category by category
Coding GPT-5.6 Terra leads
Claude 3 Haiku: 26.4 (#325), GPT-5.6 Terra: 57.7 (#19)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| WeirdML | 9.8% | 78.3% |
| LMArena Coding | 1199 | 1484 |
| DeepSWE | — | 69.6% |
| FrontierCode | — | 41.3% |
| CursorBench | — | 41.3% |
| LMArena WebDev | — | 1522 |
| SciCode | — | 55% |
| BigCodeBench Instruct | 39.4% | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| ALE-Bench | — | 1,951 |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Agentic & Tool Use Not comparable
Claude 3 Haiku: —, GPT-5.6 Terra: 40.1 (#25)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| APEX-Agents | — | 58.2% |
| BALROG | — | 53.2% |
| GDP.pdf | — | 24.7% |
| Vending-Bench 2 | — | 7,343 |
Reasoning GPT-5.6 Terra leads
Claude 3 Haiku: 16.3 (#307), GPT-5.6 Terra: 60.7 (#21)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| Kagi LLM Benchmark | 34.2% | 51.3% |
| LMArena Hard Prompts | 1174 | 1468 |
| DTBench | 50.1% | 93.3% |
| LMCA | 8.8% | 55% |
| Epoch Capabilities Index | 118.35 | 159.62 |
| ARC-AGI-2 | — | 83.9% |
| SimpleBench | — | 48.9% |
| NYT Connections (extended) | — | 78.4% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30% |
| Chess Puzzles | — | 54% |
| Mystery Game Puzzles | — | 35% |
| Surface Evolver Bench | — | 83.8% |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math GPT-5.6 Terra leads
Claude 3 Haiku: 9.8 (#319), GPT-5.6 Terra: 81.6 (#12)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 99.7% |
| LMArena Math | 1188 | 1466 |
| FrontierMath (Tiers 1-3) | — | 86% |
| FrontierMath Tier 4 | — | 70.7% |
| ProofBench | — | 74% |
| MATH Level 5 | 14.9% | — |
Knowledge GPT-5.6 Terra leads
Claude 3 Haiku: 17.3 (#285), GPT-5.6 Terra: 61.2 (#30)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| GPQA Diamond | 36.3% | 93.3% |
| LMArena Expert | 1148 | 1492 |
| SimpleQA Verified | — | 43.2% |
| Confabulations | 34.2% | — |
| MMLU | 73.8% | — |
Multimodal GPT-5.6 Terra leads
Claude 3 Haiku: 23.6 (#128), GPT-5.6 Terra: 47.3 (#11)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| LMArena Vision | 950 | 1271 |
| Blueprint-Bench 2 | — | 30.8% |
| Furniture Assembly | — | 54.2% |
| LMArena Document | — | 1472 |
| ScienceQA | 72% | — |
Multilingual GPT-5.6 Terra leads
Claude 3 Haiku: 36.0 (#243), GPT-5.6 Terra: 54.4 (#44)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| LMArena Non-English | 1178 | 1439 |
| LMArena Chinese | 1155 | 1513 |
| LMArena French | 1195 | 1471 |
| LMArena German | 1174 | 1460 |
| LMArena Japanese | 1102 | 1457 |
| LMArena Korean | 1109 | 1425 |
| LMArena Russian | 1204 | 1450 |
| LMArena Spanish | 1166 | 1448 |
Instruction Following GPT-5.6 Terra leads
Claude 3 Haiku: 61.3 (#247), GPT-5.6 Terra: 76.4 (#40)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| LMArena Instruction Following | 1173 | 1454 |
Long Context GPT-5.6 Terra leads
Claude 3 Haiku: 36.1 (#237), GPT-5.6 Terra: 44.4 (#68)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| LMArena Longer Query | 1190 | 1451 |
Writing & Preference GPT-5.6 Terra leads
Claude 3 Haiku: 29.7 (#291), GPT-5.6 Terra: 70.2 (#23)
| Benchmark | Claude 3 Haiku | GPT-5.6 Terra |
|---|---|---|
| LMArena Text | 1195 | 1447 |
| LMArena Creative Writing | 1157 | 1410 |
| EQ-Bench Creative Writing | 717 | 1855 |
| LMArena Multi-Turn | 1190 | 1449 |
| EQ-Bench 4 | — | 1234 |
Frequently asked questions
Is Claude 3 Haiku better than GPT-5.6 Terra?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or GPT-5.6 Terra better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and GPT-5.6 Terra share?
26 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GPT-5.6 Terra has 52.