readable AI benchmarks (simplified)
OpenAI
GPT-5.5
GPT-5.5 does not yet have enough benchmark data for a Quality Score. It accepts text, image, and pdf input, outputs text, and has a 1050k token context window.
Model specification
- Reasoning
- reasoning
- Input modalities
- text, image, pdf
- Output modalities
- text
- Context window
- 1050k tokens
- Weights
- closed weights
Token prices USD per 1M tokens
- Input
- not available
- Output
- not available
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- not available
- Coding
- not available
- Agentic
- not available
- Omniscience
- not available
- Correct
- not available
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): not available
Omniscience outcome data not available for this model.
DeepSWE operational cross-check
- Pass@1
- 67.0%
- Avg steps/scored attempt
- 82.02
- Mean cost/scored attempt (USD)
- $7.23
- Mean output tokens/scored attempt
- 46,294.723
- Mean duration/scored attempt (s)
- 1806 s
Mean cost/scored attempt is the official feed's mean_cost_usd: mean benchmark cost in USD per scored attempt under the source's cost basis. It is not Artificial Analysis cost per task and not token price (USD per 1M tokens). Mean output tokens/scored attempt is mean_output_tokens, also averaged over every scored attempt including scored failures. Mean duration/scored attempt is mean_duration_seconds; it is informational only, and wall-clock varies with provider and host load. These three fields do not affect Quality Score, Value Score, or Reliability. Epoch General ECI's benchmark basket includes DeepSWE v1.1, so Epoch General ECI and this DeepSWE cross-check are not independent evidence.
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