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gpt-5-mini-2025-08-07

Azure · chat model

gpt-5-mini-2025-08-07 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
$0.2500 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
$0.0250 / 1M tokens
Context
128.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.2500 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
$0.0250 / 1M tokens
Embedding
$0.2500 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
272.0K
Max output tokens
128.0K
Max tokens
128.0K

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 74.9% accuracy (%) Base model: gpt-5 (GPT-5 (high)) 2026-05-31 Link
Aider Polyglot 88.0% accuracy (%) Base model: gpt-5 (GPT-5 (high)) 2026-05-31 Link
GPQA Diamond 85.7% accuracy (%) Base model: gpt-5 (GPT-5 (high)) 2026-05-31 Link
AIME 2025 94.6% accuracy (%) Base model: gpt-5 (GPT-5 (high)) 2026-05-31 Link
Tau2-bench Telecom 96.7% accuracy (%) Base model: gpt-5 (GPT-5 (high)) 2026-05-31 Link
Aider Polyglot 88.0% percent correct Base model: GPT-5 (openai/gpt-5) 2026-05-31 Link
Aider Polyglot 86.7% percent correct Base model: GPT-5 (openai/gpt-5) 2026-05-31 Link
Aider Polyglot 81.3% percent correct Base model: GPT-5 (openai/gpt-5) 2026-05-31 Link
SWE-bench Verified 71.0% accuracy (%) Base model: gpt-5-mini (GPT-5 mini (high)) 2026-05-31 Link
GPQA Diamond 82.3% accuracy (%) Base model: gpt-5-mini (GPT-5 mini (high)) 2026-05-31 Link
SWE-bench Verified 56.20% % resolved Base model: GPT-5 Mini (GPT-5 Mini) 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-mini-2025-08-07
Azure
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
gpt-5-mini
Azure
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 100%
gpt-5-mini
OpenAI
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 98%
gpt-5-mini-2025-08-07
OpenAI
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 98%
gpt-5.4-nano
azure_ai
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 92%
gpt-5.4-nano-2026-03-17
azure_ai
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 92%
gpt-5.4-nano
OpenAI
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 92%
gpt-5-nano
Azure
In $0.0500 / 1M tokens
Out $0.4000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 84%
gpt-5-nano-2025-08-07
Azure
In $0.0500 / 1M tokens
Out $0.4000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 84%
gpt-5.1-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 84%
gpt-5
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 84%
gpt-5-2025-08-07
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 84%
gpt-5-mini
replicate
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Text + image covered
Overall 77%
gpt-5-mini
OpenRouter
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext file
Output: text
Tool choiceReasoning
128.0K
Text + image covered
Overall 73%
gpt-5-chat
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
16.4K
Same provider
Overall 71%
qwen3.5-35b-a3b
OpenRouter
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext video
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Text + image covered
Overall 71%