Claude Opus 4.6 vs GPT-5.5
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Claude Opus 4.6 | GPT-5.5 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #7 of 2276.2 score | #5 of 2284.2 score |
| CostLower is better · Published-token output estimate | #27 of 36$0.241 per LiveBench case | #32 of 36$0.341 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | #11 of 2252.1 score | #10 of 2252.7 score |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.5 |
|---|---|---|
| ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader | 94.0099% of row best · percent · Claude Opus 4.6 (120K, High) | 95.00100% of row best · percent · GPT-5.5 (XHigh) |
| ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader | 69.1781% of row best · percent · Claude Opus 4.6 (120K, High) | 85.00100% of row best · percent · GPT-5.5 (XHigh) |
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie | 5.22100% of row best · score · Claude Opus 4.6; 95% CI [3.87284067, 6.56107425]; sessions 36365; observations 1299912; rank 17 | 4.84100% of row best · score · GPT 5.5; 95% CI [3.96340788, 5.71819765]; sessions 77762; observations 1908513; rank 18 |
| LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader | 1,505.91100% of row best · rating · claude-opus-4-6-thinking; 95% CI [1498.85646357, 1512.96777060]; votes 24973; rank 3 | 1,480.3098% of row best · rating · gpt-5.5; 95% CI [1473.46488383, 1487.13183487]; votes 17286; rank 9 |
| LMArena Search Arenasearch-2026-08-24-011508720696 · arena_rating · leader | 1,253.42100% of row best · rating · claude-opus-4-6-search; 95% CI [1248.44594166, 1258.38585709]; votes 134699; rank 2 | 1,242.0599% of row best · rating · gpt-5.5-search; 95% CI [1236.73488085, 1247.37053078]; votes 89873; rank 3 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,497.70100% of row best · rating · claude-opus-4-6; 95% CI [1494.29292018, 1501.10380984]; votes 76032; rank 4 | 1,466.8098% of row best · rating · gpt-5.5; 95% CI [1462.99653821, 1470.60035247]; votes 64686; rank 27 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,311.43100% of row best · rating · claude-opus-4-6; 95% CI [1304.90444379, 1317.95290154]; votes 25210; rank 7 | 1,294.3699% of row best · rating · gpt-5.5-high; 95% CI [1287.65516407, 1301.05910249]; votes 20121; rank 18 |
| LiveBench2026-06-25 · overall · leader | 78.6993% of row best · percent · claude-opus-4-6-thinking-auto-high-effort · 9,651 output tokens / case | 84.54100% of row best · percent · gpt-5.5-xhigh · 11,355 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 84.21100% of row best · points · Claude Opus 4.6 · 2,607 output tokens / case | 81.5397% of row best · points · GPT-5.5 (none) · 3,805 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 5 benchmark winsOverall lead | 3 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Claude Opus 4.6 | GPT-5.5 |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Family | Claude 4 | Gpt 5 5 |
| Model | Claude Opus 4.6 | GPT-5.5 |
| Version | Claude Opus 4.6 | GPT-5.5 |
| Lifecycle | active | active |
| Released | 2026-02-05 | 2026-04-23 |
| Knowledge cutoff | 2025-05-01 | 2025-12-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Claude Opus 4.6 Capabilities
GPT-5.5 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Claude Opus 4.6Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.6Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.6 vs GPT-5.5 FAQs
Is Claude Opus 4.6 or GPT-5.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.6 and GPT-5.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.6 or GPT-5.5?+
Claude Opus 4.6 is $5.00 and GPT-5.5 is $5.00 per million tokens, so they are tied on this metric. Claude Opus 4.6 is $25.00 and GPT-5.5 is $30.00 per million tokens, so Claude Opus 4.6 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.6 or GPT-5.5?+
GPT-5.5 has the larger sourced context window. Claude Opus 4.6 supports 1,000K and GPT-5.5 supports 1,050K.
Which performs better in benchmarks, Claude Opus 4.6 or GPT-5.5?+
Claude Opus 4.6 leads the current overall benchmark count. The result uses 9 protocol-matched benchmarks from 4 publishers; it is not a universal quality score.
Can Claude Opus 4.6 or GPT-5.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.6 is not marked open weight; GPT-5.5 is not marked open weight.
Can Claude Opus 4.6 and GPT-5.5 understand images?+
Claude Opus 4.6 is documented with image input; GPT-5.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.6 or GPT-5.5?+
Neither has a larger sourced maximum output. Claude Opus 4.6 is 128K and GPT-5.5 is 128K.
Do Claude Opus 4.6 and GPT-5.5 support reasoning and tool use?+
Claude Opus 4.6: reasoning, tool calling, and image input. GPT-5.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.6 or GPT-5.5?+
Claude Opus 4.6 has 1 sourced provider route; GPT-5.5 has 2, so GPT-5.5 has broader tracked availability.
Which offers better value, Claude Opus 4.6 or GPT-5.5?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.