databricks-claude-opus-4-5

databricks · Chat model

databricks-claude-opus-4-5 is listed here as a chat model from databricks. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

databricks-databricks-databricks-claude-opus-4-5

Input

$5.0000 / 1M tokens

Output

$25.0000 / 1M tokens

Cached input

N/A

Context window

64.0K

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

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

Limits

Context window

64.0K

Max input tokens

200.0K

Max output tokens

64.0K

Max tokens

64.0K

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. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	Supported
Parallel function calling	-
Tool choice	Supported
Prompt caching	-
Reasoning	Supported
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	Row source LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z