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deepseek-v3.1:671b-cloud

ollama · chat model

deepseek-v3.1:671b-cloud is listed here as a chat model from ollama. 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
163.8K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. 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

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

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-v3.1:671b-cloud
ollama
In N/A
Out N/A
Output: unknown
Function calling
163.8K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
gpt-oss:120b-cloud
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In N/A
Out N/A
Output: unknown
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Overall 37%
gpt-oss:20b-cloud
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In N/A
Out N/A
Output: unknown
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Overall 37%
Llama-3.3-Nemotron-Super-49B-v1
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In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
Function calling
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Partial I/O overlap
Overall 37%
xai.grok-3-mini
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In $0.3000 / 1M tokens
Out $0.5000 / 1M tokens
Output: unknown
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Partial I/O overlap
Overall 37%
xai.grok-3-mini-fast
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In $0.6000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
Function calling
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Partial I/O overlap
Overall 37%
xai.grok-3
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Function calling
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Partial I/O overlap
Overall 37%
qwen3-coder:480b-cloud
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In N/A
Out N/A
Output: unknown
Function calling
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Same provider
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mixtral-8x22B-Instruct-v0.1
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In N/A
Out N/A
Output: unknown
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65.5K
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Overall 31%
Mixtral-8x22B-Instruct-v0.1
anyscale
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
Output: unknown
Function calling
65.5K
Partial I/O overlap
Overall 31%
mistral-7B-Instruct-v0.2
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In N/A
Out N/A
Output: unknown
Function calling
32.8K
Same provider
Overall 28%
mixtral-8x7B-Instruct-v0.1
ollama
In N/A
Out N/A
Output: unknown
Function calling
32.8K
Same provider
Overall 28%
mistral-large-2402
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In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
Output: unknown
Function calling
32.0K
Partial I/O overlap
Overall 28%
mistral-large-latest
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In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
Output: unknown
Function calling
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Partial I/O overlap
Overall 28%
Mistral-7B-Instruct-v0.1
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 27%
Mixtral-8x7B-Instruct-v0.1
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 27%
command-r-plus
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 25%
Llama-3.2-3B-Instruct
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In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
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Output: text
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Partial I/O overlap
Overall 25%
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function calling
131.1K
Partial I/O overlap
Overall 18%
llama3.2-11b-vision-instruct
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function calling
131.1K
Partial I/O overlap
Overall 17%
paddleocr-vl
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In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 2%
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%