gpt-5.1-chat-latest
OpenAI · chat model
gpt-5.1-chat-latest is listed here as a chat model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
$0.1250 / 1M tokens
Context
16.4K
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 | $1.2500 / 1M tokens |
| Output | $10.0000 / 1M tokens |
| Cached input | $0.1250 / 1M tokens |
| Embedding | $1.2500 / 1M tokens |
| Priority input | $2.5000 / 1M tokens |
| Priority output | $20.0000 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
128.0K
Max output tokens
16.4K
Max tokens
16.4K
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 | 76.3% | accuracy (%) | Base model: gpt-5.1 (GPT-5.1 (high)) | 2026-05-31 | Link |
| GPQA Diamond | 88.1% | accuracy (%) | Base model: gpt-5.1 (GPT-5.1 (high)) | 2026-05-31 | Link |
| Tau 2-bench Telecom | 95.6% | accuracy (%) | Base model: gpt-5.1 (GPT-5.1 (high)) | 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-5.1-chat-latest OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5-chat-latest OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 16.4K | Same provider Overall 96% |
| gpt-5-chat Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 16.4K | Text + image covered Overall 90% |
| gpt-5.2-chat-latest OpenAI | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 16.4K | Same provider Overall 87% |
| gpt-5.3-chat-latest OpenAI | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 16.4K | Same provider Overall 87% |
| gpt-4o OpenAI | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingResponse schemaSystem messages | 16.4K | Same provider Overall 83% |
| gpt-4o-2024-08-06 OpenAI | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingResponse schemaSystem messages | 16.4K | Same provider Overall 83% |
| gpt-4o-2024-11-20 OpenAI | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingResponse schemaSystem messages | 16.4K | Same provider Overall 83% |
| gpt-5 OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Same provider Overall 79% |
| gpt-5.1 OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Same provider Overall 79% |
| gpt-5.1-2025-11-13 OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Same provider Overall 79% |
| gpt-5-2025-08-07 OpenAI | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Same provider Overall 79% |
| gpt-5.1-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 77% |
| gpt-5 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 77% |
| gpt-5-2025-08-07 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 77% |
| gpt-5.2 OpenAI | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Same provider Overall 74% |
| gpt-5.4 azure_ai | In $2.5000 / 1M tokens Out $15.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 71% |
| gpt-5.4-2026-03-05 azure_ai | In $2.5000 / 1M tokens Out $15.0000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 71% |
| gpt-5.4-mini azure_ai | In $0.7500 / 1M tokens Out $4.5000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 70% |
| gpt-5.4-mini-2026-03-17 azure_ai | In $0.7500 / 1M tokens Out $4.5000 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 70% |
| gpt-5.1-chat-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: image, text | VisionPrompt cachingReasoningResponse schema | 16.4K | Partial I/O overlap Overall 64% Missing text, image |
| gpt-5.4-nano azure_ai | In $0.2000 / 1M tokens Out $1.2500 / 1M tokens | imagepdftext
Output: text | VisionPrompt cachingReasoningResponse schema | 128.0K | Text + image covered Overall 62% |
| gpt-5.1 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: image, text | VisionPrompt cachingReasoningResponse schema | 128.0K | Partial I/O overlap Overall 45% Missing text, image |
| gpt-5.1-chat Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdftext
Output: image, text | VisionPrompt cachingReasoningResponse schema | 128.0K | Partial I/O overlap Overall 45% Missing text, image |
No models match this filter.