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DeepSeek-V3.1

sambanova · chat model

DeepSeek-V3.1 is listed here as a chat model from sambanova. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$3.0000 / 1M tokens
Output
$4.5000 / 1M tokens
Cached input
N/A
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
$3.0000 / 1M tokens
Output
$4.5000 / 1M tokens
Embedding
$3.0000 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
32.8K
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
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
MMLU-Pro 84.8 EM Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
GPQA Diamond 80.1 pass@1 Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
Humanity's Last Exam 15.9 pass@1 Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
LiveCodeBench 74.8 pass@1 Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
Aider Polyglot 76.3 accuracy Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
SWE-bench Verified (Agent mode) 66.0 resolved Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link
AIME 2025 88.4 pass@1 Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

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Comparing from
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DeepSeek-V3.1
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In $3.0000 / 1M tokens
Out $4.5000 / 1M tokens
Output: unknown
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Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
DeepSeek-V3-0324
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Out $4.5000 / 1M tokens
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Out $4.5000 / 1M tokens
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Out $5.4000 / 1M tokens
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In $2.0000 / 1M tokens
Out $5.0000 / 1M tokens
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Output: text
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magistral-medium-2509
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In $2.0000 / 1M tokens
Out $5.0000 / 1M tokens
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magistral-medium-1-2-2509
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In $2.0000 / 1M tokens
Out $5.0000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
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databricks-claude-haiku-4-5
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Out $5.0000 / 1M tokens
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Out $5.0000 / 1M tokens
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Output: text
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Out $2.7500 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
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zai-glm-4.7
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Out $2.7500 / 1M tokens
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deepseek.v3.2
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
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Output: text
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
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Output: text
Function callingTool choiceReasoning
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Partial I/O overlap
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deepseek.v3.2
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 36%
deepseek.v3.2
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
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Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 36%
deepseek.v3.2
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
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Out $1.2000 / 1M tokens
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Out $0.8000 / 1M tokens
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Out $10.0000 / 1M tokens
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gpt-35-turbo-16k
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
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Partial I/O overlap
Overall 29%
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In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
4.1K
Partial I/O overlap
Overall 28%
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In $5.0000 / 1M tokens
Out $7.0000 / 1M tokens
Output: unknown
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meta.llama3-70b-instruct-v1:0
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Out $4.2000 / 1M tokens
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Out $4.5500 / 1M tokens
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meta.llama3-70b-instruct-v1:0
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In $3.0500 / 1M tokens
Out $4.0300 / 1M tokens
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