BenchLeader
OpenAIReasoning model

GPT-5.1-Codex

Best configuration ranks #149 of 610 on the BenchLeader Index at 57.1 ±5.2. Last measured 8 Sept 2026. Released 14 Nov 2025.

Blended price
$3.44/M
$1.25 in · $10.00 out
Output speed
48 tok/s
First answer
5.18 s
Context
400k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index57
  2. Coding50
  3. Agents & tools58
  4. Knowledge61
  5. Instruction following68
  6. Multimodal57
  7. Long context61
  8. Composite59

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
medium48 tok/s5.18 s$0.0035Coding 58
high48 tok/s5.18 s$0.0035Coding 38
defaultbest57.1#14948 tok/s5.18 s$0.0035Agents & tools 58 · Coding 50 · Composite 59 · Instruction following 68 · Knowledge 61 · Long context 61 · Multimodal 57

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

BenchmarkmediumhighdefaultSourceTrend
GPQA Diamond (AA)not in index86.0%#115Artificial Analysis
Humanity's Last Exam (AA)not in index25.7%#132Artificial Analysis

Coding

BenchmarkmediumhighdefaultSourceTrend
LMArena WebDev1336#95LMArena
LiveCodeBench85.5%#30Vals AI
IOI3.7%#50Vals AI
SWE-bench Verified (bash only)66.0%#17SWE-bench
SWE-bench Verified (any scaffold)not in index66.0%#21SWE-bench

Agents & tools

BenchmarkmediumhighdefaultSourceTrend
Terminal-Bench57.8%#19Terminal-Bench
APEX-Agents20.7%#35Mercor
Terminal-Bench Hard34.9%#80Artificial Analysis
τ²-Bench Telecom (AA)not in index83.0%#109Artificial Analysis

Knowledge

BenchmarkmediumhighdefaultSourceTrend
AA-Omniscience-6.5#118Artificial Analysis

Instruction following

BenchmarkmediumhighdefaultSourceTrend
IFBench70.0%#70Artificial Analysis

Multimodal

BenchmarkmediumhighdefaultSourceTrend
MMMU-Pro72.5%#103Artificial Analysis

Long context

BenchmarkmediumhighdefaultSourceTrend
AA-LCR69.3%#170Artificial Analysis

Composite

BenchmarkmediumhighdefaultSourceTrend
AA Intelligence Index23.7#127Artificial Analysis

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Azure48 tok/s5.18 s$1.25$10.00400k

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.125 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0035$0.003211.4 s
Summarise a 30-page report12,000 / 600$0.021$0.01117.7 s
Code edit6,000 / 1,500$0.022$0.01736.4 s
Agentic coding session60,000 / 4,000$0.115$0.0641.5 min
Structured extraction2,000 / 200$0.0045$0.00289.4 s

See also

Data as of 9 Sept 2026. Compare these configurations.