gpt-5-mini
replicate · chat model
gpt-5-mini is listed here as a chat model from replicate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2500 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
N/A
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
| Item | Price |
|---|---|
| Input | $0.2500 / 1M tokens |
| Output | $2.0000 / 1M tokens |
| Embedding | $0.2500 / 1M tokens |
Token limits
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | ✅ |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | ✅ |
| 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 | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
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Comparing from
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Output: text | VisionFunction callingParallel function callingTool choice | N/A | Current model Reference row |
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Output: text | VisionFunction callingParallel function callingTool choice | 128.0K | Text + image covered Overall 77% |
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Output: text | VisionFunction callingParallel function callingTool choice | 128.0K | Text + image covered Overall 77% |
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Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Text + image covered Overall 76% |
| gpt-4.1-mini-2025-04-14 Azure | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | imagetext
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