LLM Pricing
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gpt-5

gmi · chat model

gpt-5 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
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
$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 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

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
gmi
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Function calling
32.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
gpt-5.1
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%