gpt-5-mini

github_copilot · Chat model

gpt-5-mini is listed here as a chat model from github_copilot. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

github_copilot-github_copilot-gpt-5-mini

Input

N/A

Output

N/A

Cached input

N/A

Context window

64.0K

Catalog generated: Jul 13, 2026

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Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

No matching data

Limits

Context window

64.0K

Max input tokens

128.0K

Max output tokens

64.0K

Max tokens

64.0K

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	Supported
Function calling	Supported
Parallel function calling	Supported
Tool choice	-
Prompt caching	-
Reasoning	-
Response schema	Supported
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
SWE-bench Verified	74.9%	accuracy (%)	Base model: gpt-5 (GPT-5 (high))	2026-05-31	Link
Aider Polyglot	88.0%	accuracy (%)	Base model: gpt-5 (GPT-5 (high))	2026-05-31	Link
GPQA Diamond	85.7%	accuracy (%)	Base model: gpt-5 (GPT-5 (high))	2026-05-31	Link
AIME 2025	94.6%	accuracy (%)	Base model: gpt-5 (GPT-5 (high))	2026-05-31	Link
Tau2-bench Telecom	96.7%	accuracy (%)	Base model: gpt-5 (GPT-5 (high))	2026-05-31	Link
Aider Polyglot	88.0%	percent correct	Base model: GPT-5 (openai/gpt-5)	2026-05-31	Link
Aider Polyglot	86.7%	percent correct	Base model: GPT-5 (openai/gpt-5)	2026-05-31	Link
Aider Polyglot	81.3%	percent correct	Base model: GPT-5 (openai/gpt-5)	2026-05-31	Link
SWE-bench Verified	71.0%	accuracy (%)	Base model: gpt-5-mini (GPT-5 mini (high))	2026-05-31	Link
GPQA Diamond	82.3%	accuracy (%)	Base model: gpt-5-mini (GPT-5 mini (high))	2026-05-31	Link
SWE-bench Verified	56.20%	% resolved	Base model: GPT-5 Mini (GPT-5 Mini)	2026-05-31	Link

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z