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Data

Data as of October 25, 2026 · How the score is built

EstablishedProprietaryReasoning

Released Feb 12, 2026128K context

GPT-5.3-Codex-Spark

Decision readingGPT-5.3-Codex-Spark is tracked, but not publicly ranked yet. The profile exposes 1 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Feb 12, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 50Not eligible for a public rank

Price

API rate not published

input median $0.75No comparable first-party hosted token rate

Speed

Not measured

field median 96 tok/sTime to first token not measured

Context

128Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

1 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 1 displayable benchmark row

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%1 benchmarkVerified
58.4
CodingWeight 20%0 benchmarksNot measured
Not measured
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeWeight 12%0 benchmarksNot measured
Not measured
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

1 of 766 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. CodingNot measured
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. KnowledgeNot measured
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Benchmark ledger

Agentic opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
MazeBenchMazeBench: visual spatial reasoning in a 3D open worldScore0%Versus best verified row

Best verified: GPT-6 Astra · 23%

Gap23 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 1 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Feb 12, 2026 · you are here

    GPT-5.3-Codex-Spark

    Not publicly ranked · Price not listed

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Codex for ChatGPT Pro · API design-partner programOpenAI GPT-5.3 Codex Spark launch
Cloud regions
Not tracked yet
Lifecycle
research previewOpenAI GPT-5.3 Codex Spark launch
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track GPT-5.3-Codex-Spark, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

GPT-5.3-Codex-Spark is a proprietary model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

GPT-5.3-Codex-Spark sits in the GPT-5.3 Codex family with GPT-5.3 Codex. 1 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does GPT-5.3-Codex-Spark perform overall in AI benchmarks?

GPT-5.3-Codex-Spark has 1 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is GPT-5.3-Codex-Spark good for agentic tool use and computer tasks?

GPT-5.3-Codex-Spark has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Which sibling models are related to GPT-5.3-Codex-Spark?

GPT-5.3-Codex-Spark belongs to the GPT-5.3 Codex family. Related tracked variants include GPT-5.3 Codex. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does GPT-5.3-Codex-Spark have full benchmark coverage on BenchLM?

No. GPT-5.3-Codex-Spark currently has 1 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of GPT-5.3-Codex-Spark?

GPT-5.3-Codex-Spark has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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