gpt-4.1-nano
vercel_ai_gateway · chat model
gpt-4.1-nano is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.1000 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Cached input | $0.0250 / 1M tokens |
| Cache write | N/A 0 in raw data; semantics unverified |
| Embedding | $0.1000 / 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 |
|---|---|---|---|---|---|
| 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 |
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-4.1-nano vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 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 callingTool choiceResponse schema | 32.8K | Text + image covered Overall 89% |
| gpt-4.1-nano-2025-04-14 Azure | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Text + image covered Overall 89% |
| gpt-4.1-nano OpenAI | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Text + image covered Overall 88% |
| gpt-4.1-nano-2025-04-14 OpenAI | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Text + image covered Overall 88% |
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Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 80% |
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Output: text | VisionFunction callingTool choiceResponse schema | 131.1K | Text + image covered Overall 73% |
| gemini-2.0-flash-lite vercel_ai_gateway | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens | imagetext audiovideo
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 72% |
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Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Text + image covered Overall 72% |
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Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Text + image covered Overall 72% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 67% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 67% |
| eu.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 67% |
| Llama-3.3-Nemotron-Super-49B-v1.5 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 64% Missing image |
| gemini-2.5-flash-lite vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext audiopdf
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Text + image covered Overall 62% |
| gemini-2.0-flash vertex_ai-language-models | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext audiourl
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Text + image covered Overall 61% |
| gemini-2.0-flash vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext audiovideo
Output: audio, image, text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 59% |
| gemini-2.0-flash-001 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext audiocode
Output: text | Function callingTool choice | 1.0M | Text + image covered Overall 59% |
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