Model comparison
Claude Opus 5 vs GPT-5.6 Sol
Anthropic against OpenAI, compared on context, price, and attributed benchmark results.
Recorded profile verification October 1, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below
Anthropic
Claude Opus 5
Frontier
OpenAI
GPT-5.6 Sol
Frontier
| Specification | Claude Opus 5 | GPT-5.6 Sol |
|---|---|---|
| Provider | ||
| Provider | Anthropic | OpenAI |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1M | Winner: 1.05M |
| Max output | ||
| Max output | 128K | 128K |
| Input / 1M tokens | ||
| Input / 1M tokens | $5 | Winner: $4 |
| Output / 1M tokens | ||
| Output / 1M tokens | $25 | Winner: $20 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | Not verifiedUnverified | Not verifiedUnverified |
| Reasoning levels | ||
| Reasoning levels | low, medium, high, xhigh, max | none, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image | text, image |
| API model id | ||
| API model id | claude-opus-5 | gpt-5.6-sol |
| Released | ||
| Released | July 24, 2026 | July 9, 2026 |
| Humanity's Last Exam · source date Claude Opus 5: 2026-09-01 | ||
| Humanity's Last Exam · source date Claude Opus 5: 2026-09-01 | 63.6 | Not verifiedUnverified |
| Terminal-Bench 2.1 · source date Claude Opus 5: 2026-09-02 | ||
| Terminal-Bench 2.1 · source date Claude Opus 5: 2026-09-02 | 89.1 | Not verifiedUnverified |
| Terminal-Bench 2.1 · source date GPT-5.6 Sol: 2026-07-09 | ||
| Terminal-Bench 2.1 · source date GPT-5.6 Sol: 2026-07-09 | Not verifiedUnverified | 88.8 |
| GPQA Diamond · source date GPT-5.6 Sol: 2026-07-09 | ||
| GPQA Diamond · source date GPT-5.6 Sol: 2026-07-09 | Not verifiedUnverified | 94.6 |
Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- Source date2026-09-02Google Gemini 3.8 Flash evaluation table quoting public leaderboard / Artificial Analysis, Terminus 2; not a Google-run Opus evaluation (Cross-provider quotation; common effort and experiment date unverified)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- Source date2026-09-01Anthropic Fable 5.1 comparison table (vendor, with tools; 56.6 no tools)
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
- Source date2026-07-09OpenAI — GPT-5.6 evals table (vendor)
Graduate-level science reasoning: multiple-choice questions written by domain PhDs.
Comparable with caveatDo not treat a fixed two-point band as universal measurement uncertainty; it depends on run count and evaluation setup. Chain-of-thought, prompt, and tool policy must match. The small pool limits fine-grained conclusions, and frontier scores can be near ceiling; Artificial Analysis dropped it from its Intelligence Index in v4.3.
- Source date2026-07-09OpenAI — GPT-5.6 evals table (vendor; Ultra multi-agent config: 91.9)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
Pricing tiers
Claude Opus 5: Standard $5/$25 per MTok with no long-context surcharge. Cache reads $0.50; 5-minute writes $6.25 and 1-hour writes $10. Batch $2.50/$12.50. First-party Fast research preview $10/$50, unavailable with Batch. US-only inference adds 10% where supported. Batch 300K output requires output-300k-2026-03-24; standard stays 128K. Knowledge cutoff May 2026; retirement not sooner than July 24, 2027.
GPT-5.6 Sol: Launch $5/$30, reduced to promotional $4/$20 on August 21; available at least through November 21, 2026. Above 272K input the full request bills $8/$30. Cached input $0.40/$0.80 short/long and cache writes $5/$10. Batch is $2/$10 at short context. Regional/FedRAMP processing adds 10% where eligible. Knowledge cutoff Feb 16 2026.
Claude Opus 5
Claude Opus 5 is Anthropic's July 2026 agentic-coding model, now 'Active (legacy)'. Its successor Opus 5.5 has lower base input/output prices ($4/$20 vs $5/$25 per million tokens); performance depends on the workload and evaluation settings.
Best for
- Complex agentic coding
- Enterprise work
- Long-context analysis
Watch out
Active legacy, superseded by Opus 5.5. Test migration: Opus 5.5 makes adaptive thinking always on, rejects forced tool use and the older computer-use tool, and changes thinking-block/progress behavior. Partner cloud lifecycles and prices can differ.
GPT-5.6 Sol
GPT-5.6 Sol was OpenAI's GPT-5.6 flagship for complex reasoning and coding with a 1.05M-token context — superseded on 2026-09-22 by GPT-6 Sol at half the price.
Best for
- Complex reasoning
- Agentic coding
- Hard knowledge work
Watch out
GPT-6.1 Sol is the newer Sol option at $2/$10 Standard. GPT-5.6 Sol remains listed; its $4/$20 price is promotional. Max effort can increase token use, and Ultra is a multi-agent configuration rather than a separate reasoning.effort value.
When the cheaper one wins
GPT-5.6 Sol is cheaper on output at $20 per million tokens against $25 for Claude Opus 5 — about 1.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. On DeepSWE 1.1, GPT-5.6 Sol is 72.7% Pass@1 at $8.39/task versus Claude Opus 5 at 73.6% / $11.84/task. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.
Run the model pickerEvidence confidence: Medium
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
- No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
- Verified within the last 90 days — Older of the two catalog checks was 25 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Opus 5: Claude model overview — whole-profile source check October 1 (accessed 2026-10-01)
- Claude Opus 5: Claude current API pricing, caching and inference geography (accessed 2026-10-01)
- Claude Opus 5: Anthropic — Claude Opus 5 (accessed 2026-08-29)
- Claude Opus 5: Anthropic news — Claude Opus 5 (accessed 2026-08-29)
- Claude Opus 5: Anthropic — Claude Opus 5.5 (Opus 5 successor) (accessed 2026-09-26)
- Claude Opus 5: Anthropic selectable effort levels (separate from adaptive thinking mode) (accessed 2026-10-01)
- GPT-5.6 Sol: OpenAI model card — whole-profile source check October 1 (accessed 2026-10-01)
- GPT-5.6 Sol: OpenAI current API pricing and processing tiers (accessed 2026-10-01)
- GPT-5.6 Sol: OpenAI — GPT-5.6 (accessed 2026-08-29)
- GPT-5.6 Sol: OpenAI API pricing (gpt-5.6-sol $4/$20) (accessed 2026-08-29)
- GPT-5.6 Sol: OpenAI — Introducing GPT-6 Sol and Luna (GPT-5.6 Sol successor) (accessed 2026-09-26)
Related comparisons
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- Claude Fable 5 vs Claude Opus 5
- Claude Fable 5 vs GPT-5.6 Sol
- Claude Haiku 4.5 vs Claude Opus 5
- Claude Mythos 5.1 vs Claude Opus 5
Diving deeper on one model? Claude Opus 5 · GPT-5.6 Sol
Common questions
Claude Opus 5 vs GPT-5.6 Sol
Answered from the verified figures on this page rather than general guidance.
Is Claude Opus 5 or GPT-5.6 Sol cheaper for input?
Is Claude Opus 5 or GPT-5.6 Sol cheaper for output?
Which has the larger context window, Claude Opus 5 or GPT-5.6 Sol?
Do Claude Opus 5 and GPT-5.6 Sol support the same reasoning levels?
Should I use Claude Opus 5 or GPT-5.6 Sol?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: GPT-5.6 Sol costs $4 per 1M tokens versus $5 for Claude Opus 5 — a 1.3x difference at the headline tier.
- Context: GPT-5.6 Sol takes 1.05M against 1M for Claude Opus 5 — only decisive if your prompts approach the smaller window.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.