GPT-5.3-Codex-Spark
GPT-5.3-Codex-Spark is a legacy integration reference; evaluate GPT-5.3-Codex before starting new work.
Use it for
- Teams maintaining an existing integration
- Workloads that can use a 131k context window
Do not use it for
- New production launches
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Family
- GPT-5.4
- Released
- 2026-02-12
- Context
- 131k
- Architecture
- Decoder Only
- Specialization
- code
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
No tracked provider token pricing is available yet.
This model is deprecated. OpenAI recommends switching to GPT-5.3-Codex.
About
ChatGPT Pro research preview using Cerebras hardware for real-time coding at 1000+ tokens/second. Not available as a standard public OpenAI API model.
GPT-5.3-Codex-Spark is a proprietary model in the GPT-5.4 family. The structured metadata tracks a 131k-token context window, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through OpenAI API. No headline benchmark score is tracked for GPT-5.3-Codex-Spark yet.
Top use-case fit: coding, agents, and build tasks
Coding
Included by capability and metadata signals in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Available via routers & gateways(15)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Compare GPT-5.3-Codex-Spark with other models
- GPT-5.3-Codex-Spark vs StepFun Step-2403
- GPT-5.3-Codex-Spark vs Step 3.5 Flash175
- GPT-5.3-Codex-Spark vs Kimi K2.617
- GPT-5.3-Codex-Spark vs Llama Guard 3 1B16
- GPT-5.3-Codex-Spark vs Qwen2-7B-Instruct15
- GPT-5.3-Codex-Spark vs Qwen3.5-397B-A17B12
- GPT-5.3-Codex-Spark vs Mistral Nemotron10
- GPT-5.3-Codex-Spark vs Phi-4 Mini Flash Reasoning10
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of GPT-5.3-Codex-Spark?
GPT-5.3-Codex-Spark has a context window of 131k tokens.
When was GPT-5.3-Codex-Spark released?
GPT-5.3-Codex-Spark was released on 2026-02-12.
Which providers offer GPT-5.3-Codex-Spark?
GPT-5.3-Codex-Spark is available from 1 provider: OpenAI API.
No tracked provider token pricing is available yet.