gpt-4.1-2025-04-14
Azure · chat model
gpt-4.1-2025-04-14 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
$2.2000 / 1M tokens
Output
$8.8000 / 1M tokens
Cached input
$0.5500 / 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 | $2.2000 / 1M tokens |
| Output | $8.8000 / 1M tokens |
| Cached input | $0.5500 / 1M tokens |
| Embedding | $2.2000 / 1M tokens |
| Batch input | $1.1000 / 1M tokens |
| Batch output | $4.4000 / 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 |
|---|---|---|---|---|---|
| SWE-bench Verified | 54.6% | accuracy (%) | Base model: gpt-4.1 (GPT-4.1) | 2026-05-31 | Link |
| Aider Polyglot | 51.6% | accuracy (%) | Base model: gpt-4.1 (GPT-4.1) | 2026-05-31 | Link |
| Aider Polyglot | 52.9% | accuracy (%) | Base model: gpt-4.1 (GPT-4.1) | 2026-05-31 | Link |
| IFEval | 87.4% | accuracy (%) | Base model: gpt-4.1 (GPT-4.1) | 2026-05-31 | Link |
| OpenAI-MRCR: 2 needle 128k | 57.2% | accuracy (%) | Base model: gpt-4.1 (GPT-4.1) | 2026-05-31 | Link |
| SWE-bench Verified | 54.6% | accuracy | Base model: GPT-4.1 (gpt-4.1) | 2026-05-31 | Link |
| MultiChallenge | 38.3% | accuracy | Base model: GPT-4.1 (gpt-4.1) | 2026-05-31 | Link |
| Video-MME | 72.0% | accuracy | Base model: GPT-4.1 (gpt-4.1) | 2026-05-31 | Link |
| Aider Polyglot Diff | 52.9% | pass rate | Base model: GPT-4.1 (gpt-4.1) | 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-4.1-2025-04-14 Azure | In $2.2000 / 1M tokens Out $8.8000 / 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 Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Same provider Overall 74% |
| 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 74% |
| gpt-4.1 OpenRouter | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | fileimage
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 74% |
| GPT-4.1 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 69% |
| gpt-4.1-2025-04-14 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 69% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 63% |
| gpt-4o-2024-08-06 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 16.4K | Same provider Overall 63% |
| gpt-4o-2024-08-06 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 16.4K | Same provider Overall 63% |
| gpt-4o-2024-11-20 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 16.4K | Same provider Overall 63% |
| gpt-4o Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 16.4K | Same provider Overall 63% |
| qwen3-max novita | In $2.1100 / 1M tokens Out $8.4500 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceResponse schema | 65.5K | Partial I/O overlap Overall 61% |
| 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 60% |
| 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 60% |
| 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 57% |
| 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 57% |
| o3-2025-04-16 Azure | In $2.2000 / 1M tokens Out $8.8000 / 1M tokens |
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 57% |
| claude-4-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Partial I/O overlap Overall 54% |
| claude-3.7-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Partial I/O overlap Overall 54% |
| claude-4.5-sonnet replicate | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Partial I/O overlap Overall 54% |
| gemini-3.5-flash Vertex AI | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | pdfurl
Output: text | VisionFunction callingParallel function callingTool choice | 65.5K | Partial I/O overlap Overall 54% |
| gemini-3.5-flash Google | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | audioimage
Output: text | VisionFunction callingParallel function callingTool choice | 65.5K | Partial I/O overlap Overall 54% |
| anthropic.claude-instant-v1 Bedrock | In $2.4800 / 1M tokens Out $8.3800 / 1M tokens | text
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 42% |
| glm-4.5-x zai | In $2.2000 / 1M tokens Out $8.9000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Partial I/O overlap Overall 27% |
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