gpt-5.1
gmi · chat model
gpt-5.1 is listed here as a chat model from gmi. 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
N/A
Context
32.0K
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 |
|---|---|
| Input | $1.2500 / 1M tokens |
| Output | $10.0000 / 1M tokens |
| Embedding | $1.2500 / 1M tokens |
Token limits
Context window
32.0K
Max input tokens
409.6K
Max output tokens
32.0K
Max tokens
32.0K
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 | 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 |
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 gmi | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5 gmi | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 60% |
| gpt-5.2 gmi | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 54% |
| mistral-large-2402 Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 46% |
| mistral-large-latest Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 46% |
| Qwen3-32B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 41% |
| Qwen3-30B-A3B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 41% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 40% |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: image, text | Function calling | 4.1K | Partial I/O overlap Overall 39% |
| us.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens |
Output: unknown | Function calling | 4.1K | Partial I/O overlap Overall 39% |
| claude-sonnet-4.5 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 39% |
| claude-sonnet-4 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 39% |
| meta.llama-3.1-405b-instruct oci | In $10.6800 / 1M tokens Out $10.6800 / 1M tokens |
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 38% |
| command-r-plus Azure | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 38% |
| gpt-4o gmi | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function calling | 16.4K | Same provider Overall 36% |
| DeepSeek-V3-0324 gmi | In $0.2800 / 1M tokens Out $0.8800 / 1M tokens |
Output: unknown | Function calling | 16.4K | Same provider Overall 36% |
| Mistral-7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 34% |
| Mixtral-8x7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 34% |
| gpt-5.1-chat-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | Low overlap | 16.4K | Partial I/O overlap Overall 28% |
| gpt-5.1 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5.1-chat Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5.1-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5-2025-08-07 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
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