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claude-opus-4.5

gmi · chat model

claude-opus-4.5 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
$5.0000 / 1M tokens
Output
$25.0000 / 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
$5.0000 / 1M tokens
Output
$25.0000 / 1M tokens
Embedding
$5.0000 / 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 72.5% score Base model: Claude Opus 4 (Claude Opus 4) 2026-05-31 Link
Terminal-Bench 43.2% score Base model: Claude Opus 4 (Claude Opus 4) 2026-05-31 Link
GPQA Diamond 74.9% score Base model: Claude Opus 4 (Claude Opus 4) 2026-05-31 Link
MMMLU 87.4% score Base model: Claude Opus 4 (Claude Opus 4) 2026-05-31 Link
MMMU 73.7% score Base model: Claude Opus 4 (Claude Opus 4) 2026-05-31 Link
LiveBench 59.10 score Base model: Claude Opus 4.5 (Claude 4.5 Opus Medium Effort) 2026-05-31 Link
SWE-bench Verified 80.9% score Base model: Claude Opus 4.5 (Claude Opus 4.5) 2026-05-31 Link
Terminal-Bench 2.0 59.8% score Base model: Claude Opus 4.5 (Claude Opus 4.5) 2026-05-31 Link
τ²-bench (Retail) 88.9% score Base model: Claude Opus 4.5 (Claude Opus 4.5) 2026-05-31 Link
GPQA Diamond 87.0% score Base model: Claude Opus 4.5 (Claude Opus 4.5) 2026-05-31 Link
SWE-bench Verified 76.80% % resolved Base model: Claude 4.5 Opus (Claude 4.5 Opus (high reasoning)) 2026-05-31 Link
LiveBench 75.96 LiveBench score Base model: Claude 4.5 Opus (Claude 4.5 Opus Thinking High Effort) 2026-05-31 Link
LMArena Text Arena (English) 1484±5 Arena Elo Base model: Claude Opus 4.5 (claude-opus-4-5-20251101-thinking-32k) 2026-05-31 Link
MMLU-Pro 89.5% accuracy Base model: Claude Opus 4.5 (Claude Opus 4.5 (Reasoning)) 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
claude-opus-4.5
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In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
Output: unknown
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Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
claude-sonnet-4.5
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
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Overall 52%
claude-sonnet-4
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
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Overall 52%
claude-opus-4
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In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
Output: unknown
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32.0K
Same provider
Overall 47%
mistral-large-2402
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In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
Output: unknown
Function calling
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Partial I/O overlap
Overall 44%
mistral-large-latest
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In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
Output: unknown
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v0-1.0-md
vercel_ai_gateway
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
32.0K
Partial I/O overlap
Overall 44%
gpt-4o
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In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
VisionFunction calling
16.4K
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Overall 42%
gemini-3-pro-preview
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In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
Output: unknown
VisionFunction calling
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Overall 41%
gpt-5.2
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In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
Output: unknown
Function calling
32.0K
Same provider
Overall 37%
anthropic.claude-opus-4-5-20251101-v1:0
bedrock_converse
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
64.0K
Partial I/O overlap
Overall 34%
claude-opus-4-5
azure_ai
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
64.0K
Partial I/O overlap
Overall 34%
gpt-4o-mini
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In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
VisionFunction calling
16.4K
Same provider
Overall 33%
meta.llama3-2-90b-instruct-v1:0
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In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
imagetext
Output: text
VisionFunction calling
4.1K
Partial I/O overlap
Overall 31%
anthropic.claude-opus-4-6-v1
bedrock_converse
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
128.0K
Partial I/O overlap
Overall 30%
global.anthropic.claude-opus-4-6-v1
bedrock_converse
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
128.0K
Partial I/O overlap
Overall 30%
anthropic.claude-opus-4-7
bedrock_converse
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
128.0K
Partial I/O overlap
Overall 30%
global.anthropic.claude-opus-4-7
bedrock_converse
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
imagepdf
Output: text
VisionFunction calling
128.0K
Partial I/O overlap
Overall 30%