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DeepSeek-V3.1-Terminus

deepinfra · chat model

DeepSeek-V3.1-Terminus is listed here as a chat model from deepinfra. 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
$1.0000 / 1M tokens
Cached input
$0.2160 / 1M tokens
Context
163.8K
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
$0.2700 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
$0.2160 / 1M tokens
Embedding
$0.2700 / 1M tokens

Token limits

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

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

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-V3.1-Terminus
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In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
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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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In $0.2500 / 1M tokens
Out $0.8800 / 1M tokens
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In $0.3800 / 1M tokens
Out $0.8900 / 1M tokens
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Function callingTool choice
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In $0.2200 / 1M tokens
Out $0.9500 / 1M tokens
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Out $1.2000 / 1M tokens
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In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 92%
grok-3-mini
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In $0.3000 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
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131.1K
Text covered
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glm-4.5-air
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In $0.2000 / 1M tokens
Out $1.1000 / 1M tokens
text
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Function callingTool choice
96.0K
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Hermes-3-Llama-3.1-405B
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In $1.0000 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
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In $0.5000 / 1M tokens
Out $2.1500 / 1M tokens
text
Output: text
Function callingTool choice
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Overall 90%
minimax-m2
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Out $1.0200 / 1M tokens
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Function callingTool choice
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codestral
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In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
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Function callingTool choice
4.0K
Text covered
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gpt-3.5-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 78%
gpt-35-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 78%
Llama-3.3-70B-Instruct
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In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Text covered
Overall 76%
Phi-4
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In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
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Function callingTool choice
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deepseek-v3.1-terminus
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In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
32.8K
Text covered
Overall 71%
deepseek-v3.1
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In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
32.8K
Text covered
Overall 71%
gpt-35-turbo-16k-0613
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 69%
gpt-4-0613
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 66%
mercury-coder-small
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In $0.2500 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Low overlap
16.4K
Text covered
Overall 61%
qwen3-235b-a22b-instruct-2507-maas
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In $0.2500 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 46%
Missing text