deepseek-r1-0528

novita · Chat model

deepseek-r1-0528 is listed here as a chat model from novita. 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.

novita-novita-deepseek-deepseek-r1-0528

Input

$0.7000 / 1M tokens

Output

$2.5000 / 1M tokens

Cached input

$0.3500 / 1M tokens

Context window

32.8K

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	$0.7000 / 1M tokens
Output	$2.5000 / 1M tokens
Cached input	$0.3500 / 1M tokens
Embedding	$0.7000 / 1M tokens

Limits

Context window

32.8K

Max input tokens

163.8K

Max output tokens

32.8K

Max tokens

32.8K

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	Supported
Tool choice	Supported
Prompt caching	-
Reasoning	Supported
Response schema	Supported
System messages	Supported
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
GPQA Diamond	71.5	Pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
LiveCodeBench	65.9	Pass@1-COT	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
AIME 2024	79.8	Pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
MATH-500	97.3	Pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
Aider Polyglot	71.4%	percent correct	Base model: DeepSeek R1 (deepseek/deepseek-reasoner)	2026-05-31	Link
Artificial Analysis Intelligence Index	18.8	index score	Base model: DeepSeek R1 (deepseek/deepseek-r1)	2026-05-31	Link
Artificial Analysis Coding Index	15.9	index score	Base model: DeepSeek R1 (deepseek/deepseek-r1)	2026-05-31	Link
Artificial Analysis Agentic Index	3.8	index score	Base model: DeepSeek R1 (deepseek/deepseek-r1)	2026-05-31	Link
GPQA Diamond	81.0	Pass@1	Base model: DeepSeek-R1-0528 (DeepSeek-R1-0528)	2026-05-31	Link
SWE-bench Verified	57.6	Resolved	Base model: DeepSeek-R1-0528 (DeepSeek-R1-0528)	2026-05-31	Link
AIME 2025	87.5	Pass@1	Base model: DeepSeek-R1-0528 (DeepSeek-R1-0528)	2026-05-31	Link
MMLU	90.8	pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
GPQA Diamond	71.5	pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
LiveCodeBench	65.9	pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
Codeforces	2029	rating	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
SWE-bench Verified	49.2	resolved	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
Aider Polyglot	53.3	accuracy	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
AIME 2024	79.8	pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
MATH-500	97.3	pass@1	Base model: DeepSeek-R1 (DeepSeek-R1)	2026-05-31	Link
Artificial Analysis Intelligence Index	18.8	score	Base model: deepseek-r1 (deepseek/deepseek-r1)	2026-05-31	Link
Artificial Analysis Coding Index	15.9	score	Base model: deepseek-r1 (deepseek/deepseek-r1)	2026-05-31	Link
Artificial Analysis Agentic Index	3.8	score	Base model: deepseek-r1 (deepseek/deepseek-r1)	2026-05-31	Link

Sources

Source links	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