Claude Sonnet 5.5
$4.50per workload95.6% mean score
+0.2 pp · same cost
Evaluated / snapshot 2026-09-29
openai
GPT-6.1 Sol
fileimagetext
CAPABILITY & COST
What else is worth comparing?
GPT-6.1 Sol95.4% mean scoreGPQA Diamond · 2026-09-29
$4.501M input + 250k output tokens
Loading chartThis modelSelected alternativesOther dots: models with both score and price
GPT-6 Astra
$22.50per workload95.8% mean score
+0.4 pp · $18.00 more
Evaluated / snapshot 2026-08-30
GPT-6 Sol
$4.50per workload94.3% mean score
-1.1 pp · same cost
Evaluated / snapshot 2026-09-22
Same test and configuration; differences in point scores are not proof of a meaningful advantage. Nearby score does not mean equivalent capability.
Results in context
Where does it sit?
Five nearest ECI estimates · current snapshot, not release-time scores.
Loading chartOverlapping intervals do not establish a clear winner. ECI combines source-selected benchmarks; points are not percentages. Snapshot 2026-10-24.
Test by test
Loading chartGPQA Diamond · max · 2026-09-29 · 21 included resultsFrontierMath tiers 1–3 · v2 · max · 2026-09-29 · 22 included resultsSimpleQA Verified · max · 2026-09-29 · 20 included resultsOTIS Mock AIME 2024–2025 · max · 2026-09-29 · 21 included results
Each row is a different test, not a common difficulty scale. “Max” does not mean equal compute across providers.
What changes your bill?
Illustrative token baskets, not measured tasks.
Loading chartShort exchange1K input + 250 output tokens$0.0045
Long answer4K input + 4K output tokens$0.048
Document analysis100K input + 2K output tokens$0.22
Repeated workload1M input + 250K output tokens$4.50
List prices, captured 2026-10-25. Excludes caching, batch discounts, tools and retries. Token baskets are not estimates of a specific task’s token use.
Within the same developer
Five lowest listed workload costs, plus this model.
Loading chartFixed basket: 1M input + 250k output. Logarithmic positions; labels show actual USD. Lower cost does not imply equivalent capability.
PUBLISHED LIMITSRoom to read
Room to read
Room to respond
Context and maximum output are separate limits, not a quality score. They are not added together.
Context window1.1Mtokens
Maximum output128Ktokens
Published specifications
Context window1.1Mtokens
API input price$2USD / million tokens
API output price$10USD / million tokens
Maximum output128Kmaximum tokens per response
Output modalitiestextpublished output types
Supported parameters11API parameters listed
Model information
- Provider
- openai
- Input modalities
- file, image, text
- Output modalities
- text
- Maximum output
- 128,000 tokens
- Supported parameters
- include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools, verbosity
- Added to catalogue
- 2026-09-29
- Knowledge cutoff
- Not available
- Catalogue snapshot
- 2026-10-25
- Source
- OpenRouter Models API ↗
Prices are per million tokens. The workload estimate uses 1,000 input and 250 output tokens. Context describes request capacity, not model quality.
