Claude Opus 4.7 vs GPT-5.5
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Opus 4.7 | GPT-5.5 |
|---|---|---|
| ARC-AGI-1verified-v1-15fb467fd4fc · verified_score · leader | 93.5098% of row best · percent · Claude 4.7 (High) | 95.00100% of row best · percent · GPT-5.5 (XHigh) |
| ARC-AGI-2verified-v2-9a3db289984e · verified_score · leader | 75.8389% of row best · percent · Claude 4.7 (Max) | 85.00100% of row best · percent · GPT-5.5 (XHigh) |
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie | 6.33100% of row best · score · Claude Opus 4.7; 95% CI [4.91001873, 7.74575053]; sessions 37121; observations 1470793; rank 10 | 4.8499% 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 | 1,497.02100% of row best · rating · claude-opus-4-7-thinking; 95% CI [1489.90818265, 1504.13387209]; votes 18793; rank 6 | 1,480.3099% 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 · statistical tie | 1,233.2599% of row best · rating · claude-opus-4-7; 95% CI [1227.87374811, 1238.63530622]; votes 91394; rank 4 | 1,242.05100% 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 | 1,483.21100% of row best · rating · claude-opus-4-7; 95% CI [1479.33960820, 1487.07067536]; votes 61256; rank 10 | 1,466.8099% 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 | 1,316.40100% of row best · rating · claude-opus-4-7-high; 95% CI [1309.56408453, 1323.22870707]; votes 21137; rank 4 | 1,294.3698% of row best · rating · gpt-5.5-high; 95% CI [1287.65516407, 1301.05910249]; votes 20121; rank 18 |
| LiveBench2026-06-25 · overall · leader | 80.9796% of row best · percent · claude-opus-4-7-xhigh-effort · 11,460 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 | 85.49100% of row best · points · Claude Opus 4.7 · 2,578 output tokens / case | 81.5395% of row best · points · GPT-5.5 (none) · 3,805 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 4 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 4.7 | GPT-5.5 |
|---|---|---|
| Developer | Anthropic | Openai |
| Family | Claude 4 | Gpt 5 5 |
| Model | Claude Opus 4.7 | GPT-5.5 |
| Version | Claude Opus 4.7 | GPT-5.5 |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-04-23 |
| Knowledge cutoff | 2026-01-01 | 2025-12-01 |
| Input modalities | Unknown | Unknown |
| Output modalities | Unknown | Unknown |
| Context window | 1,000,000 | 1,050,000 |
| 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), Deepinfra (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
13 comparable fields · 8 material differences · Interactive comparison only; indexing gate not met
Claude Opus 4.7 Capabilities
GPT-5.5 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
GPT-5.4OpenAI | vs | GPT-5.5OpenAI | family variantsimage, text |
Claude Opus 4.6Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
GPT-5.4 ProOpenAI | vs | GPT-5.5OpenAI | family variantsimage, text |
GPT-5.1OpenAI | vs | GPT-5.5OpenAI | family variantsimage, text |
Claude Opus 4.5Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs | Claude Sonnet 4.6Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs |  Qwen3.7 FlashQwen | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Qwen3.7 MaxQwen | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Grok 4.3xAI | cross-developer peersimage, text |
Claude Opus 4.6Anthropic | vs | GPT-5.5OpenAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | GPT-5.4OpenAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | GPT-5.4 ProOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs GPT-5.5 FAQs
Is Claude Opus 4.7 or GPT-5.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 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 4.7 or GPT-5.5?+
Claude Opus 4.7 is $5.00 and GPT-5.5 is $5.00 per million tokens, so they are tied on this metric. Claude Opus 4.7 is $25.00 and GPT-5.5 is $30.00 per million tokens, so Claude Opus 4.7 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or GPT-5.5?+
GPT-5.5 has the larger sourced context window. Claude Opus 4.7 supports 1,000,000 and GPT-5.5 supports 1,050,000.
Which performs better in benchmarks, Claude Opus 4.7 or GPT-5.5?+
Claude Opus 4.7 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 4.7 or GPT-5.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.7 is not marked open weight; GPT-5.5 is not marked open weight.
Can Claude Opus 4.7 and GPT-5.5 understand images?+
Claude Opus 4.7 is not documented with image input; GPT-5.5 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or GPT-5.5?+
Neither has a larger sourced maximum output. Claude Opus 4.7 is 128,000 and GPT-5.5 is 128,000.
Do Claude Opus 4.7 and GPT-5.5 support reasoning and tool use?+
Claude Opus 4.7: reasoning and tool calling. GPT-5.5: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or GPT-5.5?+
Claude Opus 4.7 has 2 sourced provider routes; GPT-5.5 has 2, a tie.
Which offers better value, Claude Opus 4.7 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.