BenchLeader

GPT-5.3 Codex Spark

GPT-5.3 Codex Spark is an OpenAI proprietary reasoning model, released 5 Feb 2026. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $4.81 per million tokens blended it is among the most expensive ranked models.

Blended price
$4.81/M
$1.75 in · $14.00 out
Output speed
–
First answer
–
Context
128k
Full answer
–
Cost per run
–
Released
5 Feb 2026

No independent quality benchmark results yet — only pricing and metadata.

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 $0.175 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0049$0.0044–
Summarize a 30-page report12,000 / 600$0.029$0.015–
Code edit6,000 / 1,500$0.032$0.024–
Agentic coding session60,000 / 4,000$0.161$0.090–
Structured extraction2,000 / 200$0.0063$0.0039–

More from OpenAI

New this month

See also

Questions people ask

Why does GPT-5.3 Codex Spark have no BenchLeader Index score?
The index needs at least five independent results across at least two categories; as of 25 Oct 2026 GPT-5.3 Codex Spark has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
How much does GPT-5.3 Codex Spark cost per 1M tokens?
As of 25 Oct 2026, GPT-5.3 Codex Spark costs $1.75 per 1M input tokens and $14.00 per 1M output tokens, $4.81 blended (three input tokens per output token).
When was GPT-5.3 Codex Spark released?
OpenAI released GPT-5.3 Codex Spark on 5 Feb 2026.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “GPT-5.3 Codex Spark: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/gpt-5-3-codex-spark.