LLM Pricing
← All models

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.

Input
$0.7000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
$0.3500 / 1M tokens
Context
32.8K
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
$0.7000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
$0.3500 / 1M tokens
Embedding
$0.7000 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
163.8K
Max output tokens
32.8K
Max tokens
32.8K

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
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
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
deepseek-r1-0528
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
minimax-m1-80k
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
40.0K
Same provider
Overall 90%
qwen3-235b-a22b-thinking-2507
novita
In $0.3000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 89%
qwen3-next-80b-a3b-thinking
novita
In $0.1500 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 89%
deepseek-r1-turbo
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
16.0K
Same provider
Overall 88%
deepseek-v3.1-terminus
novita
In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 88%
deepseek-v3.1
novita
In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Same provider
Overall 88%
glm-4.7
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 86%
kimi-k2-thinking
novita
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
262.1K
Same provider
Overall 86%
glm-4.6
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 86%
mimo-v2-flash
novita
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.0K
Same provider
Overall 82%
kimi-k2-instruct
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Text covered
Overall 79%
deepseek-v3.2-exp
novita
In $0.2700 / 1M tokens
Out $0.4100 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
65.5K
Same provider
Overall 78%
deepseek-v3.2
novita
In $0.2690 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
65.5K
Same provider
Overall 78%
moonshotai.kimi-k2-thinking
Bedrock
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingReasoning
262.1K
Text covered
Overall 69%
moonshotai.kimi-k2-thinking
Bedrock
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingReasoning
262.1K
Text covered
Overall 69%
moonshotai.kimi-k2-thinking
Bedrock
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingReasoning
262.1K
Text covered
Overall 69%
deepseek-prover-v2-671b
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
System messages
160.0K
Same provider
Overall 67%