Claude Opus 5.5 vs GPT-6 Sol
At a Glance
| Compare | Claude Opus 5.5Anthropic |  GPT-6 SolOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #1 of 57100.0 score · 2/3 sources · provisional · missing LMArena Text · full-core range 66.7–100.0 | UnrankedNot in the 57-model eligible cohort |
| CostLower is better · Published-token output estimate | #25 of 27$0.512 per LiveBench case | UnrankedNot in the 27-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.9 | #9 of 2753.9 score · 2/3 sources · provisional · missing LMArena Text · full-core range 37.3–53.9 | UnrankedNot in the 27-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $4.00Anthropic ↗ · Sep 22, 2026 | $2.00Openai ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $20.00Anthropic ↗ · Sep 22, 2026 | $10.00Openai ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,050K |
| Model facts checked | Sep 22, 2026View model evidence → | Sep 22, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader | 98.50100% of row best · percent · Claude Opus 5.5 (High) | 95.5097% of row best · percent · GPT-6 Sol (Max) |
| ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader | 93.33100% of row best · percent · Claude Opus 5.5 (High) | 89.5896% of row best · percent · GPT-6 Sol (Max) |
| LMArena Search Arenasearch-2026-10-13-0ebb411abf00 · arena_rating · leader | 1,212.75100% of row best · rating · claude-opus-5.5-medium; 95% CI [1205.66309681, 1219.84195206]; votes 10842; rank 14 | 1,174.9197% of row best · rating · gpt-6-sol-max; 95% CI [1167.83636087, 1181.98711987]; votes 11313; rank 26 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 85.94100% of row best · percent · claude-opus-5-5-max-effort · 25,610 output tokens / case | 83.8398% of row best · percent · gpt-6-sol-max · 17,131 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 85.93100% of row best · points · Claude Opus 5.5 (max effort) · 126,485 output tokens / case | 83.5297% of row best · points · GPT-6 Sol (max) · 10,008 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 4 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Family | Claude 5 5 | Gpt 6 |
| Model | Claude Opus 5.5 | GPT-6 Sol |
| Version | Claude Opus 5.5 | GPT-6 Sol |
| Lifecycle | active | active |
| Released | 2026-09-22 | 2026-09-22 |
| Knowledge cutoff | 2026-06-01 | 2026-04-20 |
| 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), Deepinfra (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, computer-use, generation, reasoning, tools |
| Message Batches max output (beta) | 300000 tokens | Unknown |
| Default effort | medium | Unknown |
| Default snapshot | Unknown | gpt-6-sol |
| Maximum input tokens | Unknown | 922000 |
| Reasoning effort | Unknown | none, low, medium, high, xhigh, max |
| Retirement commitment | Not sooner than September 22, 2027 | Unknown |
| Supported API routes | Unknown | v1/responses, v1/chat/completions, v1/batch |
| Thinking | Adaptive (always on) | Unknown |
Claude Opus 5.5 Capabilities
GPT-6 Sol Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 5Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 5.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs | GPT-6.1 SolOpenAI | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs | Grok 4.7xAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 5.5 vs GPT-6 Sol FAQs
Is Claude Opus 5.5 or GPT-6 Sol better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5.5 and GPT-6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 5.5 or GPT-6 Sol?+
Claude Opus 5.5 is $4.00 and GPT-6 Sol is $2.00 per million tokens, so GPT-6 Sol is cheaper on this metric. Claude Opus 5.5 is $20.00 and GPT-6 Sol is $10.00 per million tokens, so GPT-6 Sol is cheaper on this metric.
Which has a larger context window, Claude Opus 5.5 or GPT-6 Sol?+
GPT-6 Sol has the larger sourced context window. Claude Opus 5.5 supports 1,000,000 tokens and GPT-6 Sol supports 1,050,000 tokens.
Which performs better in benchmarks, Claude Opus 5.5 or GPT-6 Sol?+
Claude Opus 5.5 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Claude Opus 5.5 or GPT-6 Sol be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Claude Opus 5.5 is not marked open weight; GPT-6 Sol is not marked open weight.
Can Claude Opus 5.5 and GPT-6 Sol understand images?+
Claude Opus 5.5 is documented with image input; GPT-6 Sol is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 5.5 or GPT-6 Sol?+
Both models have the same sourced maximum output: 128,000 tokens each.
Do Claude Opus 5.5 and GPT-6 Sol support reasoning and tool use?+
Claude Opus 5.5: reasoning, tool calling, and image input. GPT-6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 5.5 or GPT-6 Sol?+
Claude Opus 5.5 has 2 sourced provider routes; GPT-6 Sol has 2, a tie.
Which offers better value, Claude Opus 5.5 or GPT-6 Sol?+
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.