Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.8 vs GPT-5.6 Terra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.6 Terra wins on 11/19 benchmarks
GPT-5.6 Terra wins 11 of 19 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·GPT-5.6 Terrareasoning·GPT-5.6 Terraknowledge·GPT-5.6 Terracoding·Claude Opus 4.8general·Claude Opus 4.8math·GPT-5.6 Terra
Hype vs Reality
Attention vs performance
Claude Opus 4.8
#75 by perf·#6 by attention
GPT-5.6 Terra
#29 by perf·#4 by attention
Best value
GPT-5.6 Terra
2.6x better value than Claude Opus 4.8
Claude Opus 4.8
3.7 pts/$
$15.00/M
GPT-5.6 Terra
9.5 pts/$
$7.00/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
19 benchmarks · 2 models
Claude Opus 4.8GPT-5.6 Terra
APEX-Agents
GPT-5.6 Terra leads by +9.3
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 4.8
48.9
GPT-5.6 Terra
58.2
ARC-AGI
GPT-5.6 Terra leads by +4.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 4.8
92.5
GPT-5.6 Terra
96.5
ARC-AGI-2
GPT-5.6 Terra leads by +11.8
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Opus 4.8
72.1
GPT-5.6 Terra
83.9
Chess Puzzles
GPT-5.6 Terra leads by +21.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.8
30.6
GPT-5.6 Terra
51.6
Deepswe
GPT-5.6 Terra leads by +10.7
Claude Opus 4.8
59.0
GPT-5.6 Terra
69.6
Dtbench
Claude Opus 4.8 leads by +2.7
Claude Opus 4.8
91.5
GPT-5.6 Terra
88.9
Frontiercode
Claude Opus 4.8 leads by +5.2
Claude Opus 4.8
46.5
GPT-5.6 Terra
41.3
FrontierMath-Tier-4-v2-Private
GPT-5.6 Terra leads by +14.6
Claude Opus 4.8
56.1
GPT-5.6 Terra
70.7
FrontierMath-Tiers-1-3-v2-Private
GPT-5.6 Terra leads by +6.0
Claude Opus 4.8
80.0
GPT-5.6 Terra
86.0
Furniture Assembly
GPT-5.6 Terra leads by +16.7
Claude Opus 4.8
17.9
GPT-5.6 Terra
34.5
GPQA diamond
GPT-5.6 Terra leads by +3.0
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 4.8
88.0
GPT-5.6 Terra
91.1
Lmca
Claude Opus 4.8 leads by +3.0
Claude Opus 4.8
67.7
GPT-5.6 Terra
64.7
Mystery Game Puzzles
Claude Opus 4.8 leads by +1.1
Claude Opus 4.8
29.5
GPT-5.6 Terra
28.4
OTIS Mock AIME 2024-2025
GPT-5.6 Terra leads by +1.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.8
98.3
GPT-5.6 Terra
99.7
Proofbench
GPT-5.6 Terra leads by +5.0
Claude Opus 4.8
69.0
GPT-5.6 Terra
74.0
SimpleBench
Claude Opus 4.8 leads by +19.1
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 4.8
57.8
GPT-5.6 Terra
38.7
SimpleQA Verified
Claude Opus 4.8 leads by +9.8
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 4.8
53.0
GPT-5.6 Terra
43.2
Surface Evolver Bench
Claude Opus 4.8 leads by +3.8
Claude Opus 4.8
87.5
GPT-5.6 Terra
83.8
WeirdML
Claude Opus 4.8 leads by +4.6
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.8
82.9
GPT-5.6 Terra
78.3
Full benchmark table
| Benchmark | Claude Opus 4.8 | GPT-5.6 Terra |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 48.9 | 58.2 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 92.5 | 96.5 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 72.1 | 83.9 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 30.6 | 51.6 |
Deepswe | 59.0 | 69.6 |
Dtbench | 91.5 | 88.9 |
Frontiercode | 46.5 | 41.3 |
FrontierMath-Tier-4-v2-Private | 56.1 | 70.7 |
FrontierMath-Tiers-1-3-v2-Private | 80.0 | 86.0 |
Furniture Assembly | 17.9 | 34.5 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 88.0 | 91.1 |
Lmca | 67.7 | 64.7 |
Mystery Game Puzzles | 29.5 | 28.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 98.3 | 99.7 |
Proofbench | 69.0 | 74.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 57.8 | 38.7 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 53.0 | 43.2 |
Surface Evolver Bench | 87.5 | 83.8 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 82.9 | 78.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 | |
| $2.00 | $12.00 | 1.1M tokens (~525 books) | $45.00 |