gpt-4.1-nano-2025-04-14
Azure · chat model
gpt-4.1-nano-2025-04-14 is listed here as a chat model from Azure. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1100 / 1M tokens
Output
$0.4400 / 1M tokens
Cached input
$0.0250 / 1M tokens
Context
32.8K
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 | $0.1100 / 1M tokens |
| Output | $0.4400 / 1M tokens |
| Cached input | $0.0250 / 1M tokens |
| Embedding | $0.1100 / 1M tokens |
| Batch input | $0.0600 / 1M tokens |
| Batch output | $0.2200 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
1.0M
Max output tokens
32.8K
Max tokens
32.8K
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 |
|---|---|---|---|---|---|
| AIME 2024 | 29.4% | accuracy (%) | Base model: gpt-4.1-nano (GPT-4.1 nano) | 2026-05-31 | Link |
| MMLU | 80.1% | accuracy | Base model: GPT-4.1 nano (gpt-4.1-nano) | 2026-05-31 | Link |
| GPQA | 50.3% | accuracy | Base model: GPT-4.1 nano (gpt-4.1-nano) | 2026-05-31 | Link |
| Aider Polyglot | 9.8% | pass rate | Base model: GPT-4.1 nano (gpt-4.1-nano) | 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-4.1-nano-2025-04-14 Azure | In $0.1100 / 1M tokens Out $0.4400 / 1M tokens |
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-4.1-nano Azure | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 74% |
| gpt-4.1-nano-2025-04-14 Azure | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 74% |
| gpt-4.1-nano OpenRouter | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | fileimage
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 74% |
| gpt-4.1-nano OpenAI | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagepdf
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 71% |
| gpt-4.1-nano-2025-04-14 OpenAI | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagepdf
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 71% |
| qwen3-vl-8b-instruct novita | In $0.0800 / 1M tokens Out $0.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 69% |
| gpt-4.1-mini Azure | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 62% |
| gpt-4.1-mini-2025-04-14 Azure | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 62% |
| gpt-4.1-mini OpenRouter | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | fileimage
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 62% |
| gpt-4.1-mini-2025-04-14 Azure | In $0.4400 / 1M tokens Out $1.7600 / 1M tokens |
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 61% |
| gpt-4o-mini-2024-07-18 Azure | In $0.1650 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 16.4K | Same provider Overall 58% |
| gpt-4.1 Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 57% |
| gpt-4.1-2025-04-14 Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 57% |
| qwen3-32b-fp8 novita | In $0.1000 / 1M tokens Out $0.4500 / 1M tokens | text
Output: text | System messages | 20.0K | Partial I/O overlap Overall 47% |
| qwen3-30b-a3b-fp8 novita | In $0.0900 / 1M tokens Out $0.4500 / 1M tokens | text
Output: text | System messages | 20.0K | Partial I/O overlap Overall 46% |
| gemini-2.0-flash-001 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiocode
Output: text | Function callingTool choice | 1.0M | Partial I/O overlap Overall 42% |
| QwQ-32B nebius | In $0.1500 / 1M tokens Out $0.4500 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 35% |
No models match this filter.