GPT-5.3-Codex vs North Mini Code 1.0
GPT-5.3-Codex (2026) and North Mini Code 1.0 (2026) are agentic coding models from OpenAI and Cohere. GPT-5.3-Codex ships a 400k-token context window, while North Mini Code 1.0 ships a 256k-token context window. On SWE-bench Verified, GPT-5.3-Codex leads by 24 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
North Mini Code 1.0 is safer overall; choose GPT-5.3-Codex when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-5.3-Codex | North Mini Code 1.0 |
|---|---|---|
| Best for | custom coding agents, code generation, and tool loops | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 256k |
| Cheapest output | $14/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | SWE-bench Verified leader | 1 rows |
Decision tradeoffs
- GPT-5.3-Codex holds a shared-benchmark lead on SWE-bench Verified, ahead by 24 points.
- GPT-5.3-Codex has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.3-Codex has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.3-Codex uniquely exposes Vision, Code execution, and Computer use in local model data.
- Local decision data tags GPT-5.3-Codex for Coding, RAG, and Agents.
- Local decision data tags North Mini Code 1.0 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.3-Codex
$4,900
Cheapest tracked route/tier: OpenRouter
North Mini Code 1.0
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.3-Codex and North Mini Code 1.0; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Code execution, and Computer use before moving production traffic.
- No overlapping tracked provider route is sourced for North Mini Code 1.0 and GPT-5.3-Codex; plan for SDK, billing, or endpoint changes.
- GPT-5.3-Codex adds Vision, Code execution, and Computer use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-05 | 2026-06-09 |
| Context window | 400k | 256k |
| Parameters | — | 30B (MoE, 3B active) |
| Architecture | decoder only | Decoder-only Transformer, sparse mixture-of-experts (128 experts, 8 active per token), interleaved sliding-window attention with RoPE and global attention in 3:1 ratio, SwiGLU FFN with sigmoid-gated routing |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.3-Codex | North Mini Code 1.0 |
|---|---|---|
| Input price | $1.75/1M tokens | - |
| Output price | $14/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-5.3-Codex | North Mini Code 1.0 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | Yes | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5.3-Codex | North Mini Code 1.0 |
|---|---|---|
| SWE-bench Verified | 85.0 | 61.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has GPT-5.3-Codex at 85 and North Mini Code 1.0 at 61, with GPT-5.3-Codex ahead by 24 points. The largest visible gap is 24 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: GPT-5.3-Codex and code execution: GPT-5.3-Codex. Both models share reasoning mode, function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: GPT-5.3-Codex has $1.75/1M input tokens and North Mini Code 1.0 has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.3-Codex when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose North Mini Code 1.0 when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, GPT-5.3-Codex or North Mini Code 1.0?
GPT-5.3-Codex supports 400k tokens, while North Mini Code 1.0 supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is GPT-5.3-Codex or North Mini Code 1.0 open source?
GPT-5.3-Codex is listed under Proprietary. North Mini Code 1.0 is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GPT-5.3-Codex or North Mini Code 1.0?
GPT-5.3-Codex has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for reasoning mode, GPT-5.3-Codex or North Mini Code 1.0?
Both GPT-5.3-Codex and North Mini Code 1.0 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, GPT-5.3-Codex or North Mini Code 1.0?
Both GPT-5.3-Codex and North Mini Code 1.0 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run GPT-5.3-Codex and North Mini Code 1.0?
GPT-5.3-Codex is available on OpenRouter, OpenAI API, and Vercel AI Gateway. North Mini Code 1.0 is available on Cohere API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-10. Data sourced from public model cards and provider documentation.