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GPT-5.3 Codex Spark

openai/gpt-5-3-codex-spark

Par OpenAI · famille: gpt-codex-spark · sorti 2026-02-12 · fin de connaissance: 2025-08-31

$1.75
Entrée / 1M jetons
$14.00
Sortie / 1M jetons
128K
Fenêtre de contexte
32K
Sortie max

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacités

✓ Tool calling✓ Raisonnement✓ Sortie structurée✓ Pièces jointes✗ Poids ouverts✗ Contrôle de température
Modalités: entrée text, image, pdf · sortie text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding75
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability3/10
Agents93
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency38
  • Headline price (log-scaled)33/95
  • Has prompt-cache pricing5/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Vision80
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability3/10
Production-readiness71
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$15.75
$0.02 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$31.50
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$10.50
$0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$28.00
$0.03 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$29.40
$0.03 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de openai · gpt-5.3-codex-spark

$1.75
Entrée
$14.00
Sortie
$0.175
Lecture cache

Fournisseur le moins cher : poe · Unknown entrée + Unknown sortie

Disponible chez 3 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
OpenAI
openai
gpt-5.3-codex-spark$1.75$14.00128K2026-02-05
OpenCode Zen
opencode
gpt-5.3-codex-spark$1.75$14.00128K2026-02-12
Poe
poe
openai/gpt-5.3-codex-sparkUnknownUnknown128K2026-03-04

Incohérences de données entre fournisseurs

  • release_date varies (span 27d): 2026-02-05, 2026-02-12, 2026-03-04
  • modalities varies across offerings

Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.

Frequently asked questions

How much does GPT-5.3 Codex Spark cost?

GPT-5.3 Codex Spark costs $1.75 per 1M input tokens and $14.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

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

GPT-5.3 Codex Spark has a context window of 128K tokens, with a max output of 32K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5.3 Codex Spark support tool calling?

Yes. GPT-5.3 Codex Spark supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GPT-5.3 Codex Spark support structured output / JSON mode?

Yes. GPT-5.3 Codex Spark supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can GPT-5.3 Codex Spark accept image input?

Yes. GPT-5.3 Codex Spark accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is GPT-5.3 Codex Spark open-weight?

No. GPT-5.3 Codex Spark is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-5.3 Codex Spark?

If GPT-5.3 Codex Spark doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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Capability lists this model is in

See also

Dernière mise à jour :

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.