Context Window
400,000
Input tokens
Full-context input ≈ $0.50
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/gpt-5.1-codex-20251113
Pricing updated Apr 24, 2026
Live Pricing
Input: $1.25
Output: $10.00
Last synced Apr 24, 2026 · MMLU score via public benchmark data
OpenAI's GPT-5.1-Codex model supports a substantial context window of 400,000 tokens, making it ideal for complex coding tasks, large document processing, and interactive applications that require extensive context retention. Teams leveraging this API can expect input costs of $1.25 per million tokens and output costs of $10.00 per million tokens, which necessitates careful budget planning for projects involving high-volume text generation. This model is particularly useful for software development, automated documentation, and real-time code assistance, providing a versatile tool for developers and businesses aiming to enhance productivity and innovation.
Provider Compliance
Context Window
400,000
Input tokens
Full-context input ≈ $0.50
Max Output
128,000
Completion tokens
Input Price / 1M
$1.25
Prompt tokens
Output Price / 1M
$10.00
Completion tokens
Top Benchmark
86.0
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: GPT-5.1-Codex. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$1.25
Current Output / 1M
$10.00
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $1.25 |
| Output (Completion) | $10.00 |
| Cache Read | $0.1250 |
Estimate monthly spend for OpenAI: GPT-5.1-Codex based on your workload.
Estimated Monthly Cost
$151
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.