gpt-5
github_copilot · chat model
gpt-5 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.
Input
N/A
Output
N/A
Cached input
N/A
Context
128.0K
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 |
|---|
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
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 |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5-mini github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 64.0K | Same provider Overall 73% |
| gpt-5.1 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 64.0K | Same provider Overall 73% |
| gpt-5.2 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 64.0K | Same provider Overall 73% |
| pixtral-12b-2409 Mistral | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 128.0K | Text + image covered Overall 70% |
| pixtral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 128.0K | Text + image covered Overall 70% |
| mistral-small-latest Mistral | In $0.0600 / 1M tokens Out $0.1800 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 131.1K | Text + image covered Overall 70% |
| gpt-4.1 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 16.4K | Same provider Overall 67% |
| gpt-4.1-2025-04-14 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 16.4K | Same provider Overall 67% |
| gpt-4o-2024-11-20 Azure | In $2.7500 / 1M tokens Out $11.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingResponse schema | 16.4K | Text + image covered Overall 62% |
| gpt-4o-2024-11-20 github_copilot | In N/A Out N/A | imagetext
Output: text | VisionFunction callingParallel function calling | 16.4K | Same provider Overall 61% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 48% Missing image |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | Vision | 16.4K | Text + image covered Overall 47% |
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens | imagetext
Output: unknown | VisionFunction callingParallel function calling | 131.1K | Partial I/O overlap Overall 27% Missing text, image |
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens | imagetext
Output: unknown | Function callingParallel function calling | 131.1K | Partial I/O overlap Overall 23% Missing text, image |
| titan-embed-text-v2 vercel_ai_gateway | In $0.0200 / 1M tokens Out N/A | imagetext
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 12% Missing image |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens | imagetext
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 0% Missing text, image |
No models match this filter.