LLM Pricing
← All models

deepseek-v3.2-exp

novita · chat model

deepseek-v3.2-exp 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
$0.2700 / 1M tokens
Output
$0.4100 / 1M tokens
Cached input
N/A
Context
65.5K
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
$0.2700 / 1M tokens
Output
$0.4100 / 1M tokens
Embedding
$0.2700 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
163.8K
Max output tokens
65.5K
Max tokens
65.5K

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
MMLU 88.5 EM Base model: DeepSeek-V3 (DeepSeek-V3) 2026-05-31 Link
GPQA Diamond 59.1 Pass@1 Base model: DeepSeek-V3 (DeepSeek-V3) 2026-05-31 Link
LiveCodeBench 37.6 Pass@1 Base model: DeepSeek-V3 (DeepSeek-V3) 2026-05-31 Link
AIME 2024 39.2 Pass@1 Base model: DeepSeek-V3 (DeepSeek-V3) 2026-05-31 Link
MATH-500 90.2 EM Base model: DeepSeek-V3 (DeepSeek-V3) 2026-05-31 Link
Aider Polyglot 74.2% percent correct Base model: DeepSeek V3.2-Exp (deepseek/deepseek-reasoner) 2026-05-31 Link
MMLU-Pro 85.0 EM Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
GPQA Diamond 79.9 pass@1 Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
LiveCodeBench 74.1 pass@1 Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
AIME 2025 89.3 pass@1 Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
Aider Polyglot 74.5 accuracy Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
SWE-bench Verified 67.8 resolved Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
Terminal-Bench 37.7 score Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) 2026-05-31 Link
Diamond 82.4 score Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) 2026-05-31 Link
Terminal-Bench 2.0 39.6 * score Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) 2026-05-31 Link
Apex Agents 7 * score Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) 2026-05-31 Link
SWE-bench Pro 15.56 score Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) 2026-05-31 Link
SWE-bench Verified 70 * resolved Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) 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-v3.2-exp
novita
In $0.2700 / 1M tokens
Out $0.4100 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
65.5K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
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 100%
qwen3-coder-480b-a35b-instruct
novita
In $0.3000 / 1M tokens
Out $1.3000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
65.5K
Same provider
Overall 87%
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 86%
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 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 84%
gpt-oss-120b
Together AI
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Text covered
Overall 81%
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 81%
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 79%
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 79%
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 75%
deepseek-reasoner
DeepSeek
In $0.2800 / 1M tokens
Out $0.4200 / 1M tokens
text
Output: unknown
ReasoningResponse schemaSystem messages
65.5K
Partial I/O overlap
Overall 45%
Missing text
deepseek-reasoner
DeepSeek
In $0.2800 / 1M tokens
Out $0.4200 / 1M tokens
text
Output: unknown
ReasoningResponse schemaSystem messages
65.5K
Partial I/O overlap
Overall 45%
Missing text
DeepSeek Chat
DeepSeek
In $0.2800 / 1M tokens
Out $0.4200 / 1M tokens
text
Output: unknown
Function callingParallel function callingTool choiceResponse schema
8.2K
Partial I/O overlap
Overall 39%
Missing text
deepseek-chat
DeepSeek
In $0.2800 / 1M tokens
Out $0.4200 / 1M tokens
text
Output: unknown
Function callingParallel function callingTool choiceResponse schema
8.2K
Partial I/O overlap
Overall 39%
Missing text
deepseek-v3.2
DeepSeek
In $0.2800 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 36%
Missing text