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deepseek-v3-2-251201

volcengine · chat model

deepseek-v3-2-251201 is listed here as a chat model from volcengine. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
N/A
Output
N/A
Cached input
N/A
Context
32.8K

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

Token limits

Context window
32.8K
Max input tokens
98.3K
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
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

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-v3-2-251201
volcengine
In N/A
Out N/A
Output: unknown
Function callingTool choicePrompt cachingReasoning
32.8K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
kimi-k2-thinking-251104
volcengine
In N/A
Out N/A
Output: unknown
Function callingTool choicePrompt cachingReasoning
32.8K
Same provider
Overall 40%
deepseek-v3.2-maas
vertex_ai-deepseek_models
In $0.5600 / 1M tokens
Out $1.6800 / 1M tokens
Output: unknown
Function callingTool choicePrompt cachingReasoning
32.8K
Partial I/O overlap
Overall 40%
deepseek-v3.1-maas
vertex_ai-deepseek_models
In $1.3500 / 1M tokens
Out $5.4000 / 1M tokens
Output: unknown
Function callingTool choicePrompt cachingReasoning
32.8K
Partial I/O overlap
Overall 40%
qwen-flash
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 34%
qwen-flash-2025-07-28
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 34%
qwen-plus-2025-07-28
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 34%
glm-4-7-251222
volcengine
In N/A
Out N/A
Output: unknown
Function callingTool choicePrompt cachingReasoning
131.1K
Same provider
Overall 29%
deepseek-r1
DeepSeek
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
Output: unknown
Function callingTool choicePrompt cachingReasoning
8.2K
Partial I/O overlap
Overall 29%
deepseek-v3.2
DeepSeek
In $0.2800 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
Function callingTool choicePrompt cachingReasoning
163.8K
Partial I/O overlap
Overall 28%
deepseek-v3.2
azure_ai
In $0.5800 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Partial I/O overlap
Overall 28%
deepseek-v3.2-speciale
azure_ai
In $0.5800 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Partial I/O overlap
Overall 28%
Llama-3.2-3B-Instruct
deepinfra
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 16%
doubao-seed-2-0-pro-260215
volcengine
In N/A
Out N/A
Output: unknown
Function callingReasoning
128.0K
Same provider
Overall 14%
doubao-seed-2-0-lite-260215
volcengine
In N/A
Out N/A
Output: unknown
Function callingReasoning
128.0K
Same provider
Overall 14%
doubao-seed-2-0-mini-260215
volcengine
In N/A
Out N/A
Output: unknown
Function callingReasoning
128.0K
Same provider
Overall 14%
doubao-seed-2-0-code-preview-260215
volcengine
In N/A
Out N/A
Output: unknown
Function callingReasoning
128.0K
Same provider
Overall 14%
llama3.2-3b-instruct
lambda_ai
In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 12%
llama3.2-11b-vision-instruct
lambda_ai
In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 11%
paddleocr-vl
novita
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 8%
titan-embed-text-v2
vercel_ai_gateway
In $0.0200 / 1M tokens
Out N/A
text
Output: embedding
Low overlap
0
Partial I/O overlap
Overall 0%
Qwen2.5-Coder-3B-Instruct
nscale
In $0.0100 / 1M tokens
Out $0.0300 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 0%