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deepseek-r1-671b

lambda_ai · chat model

deepseek-r1-671b is listed here as a chat model from lambda_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.8000 / 1M tokens
Output
$0.8000 / 1M tokens
Cached input
N/A
Context
131.1K

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
$0.8000 / 1M tokens
Output
$0.8000 / 1M tokens
Embedding
$0.8000 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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
GPQA Diamond 71.5 Pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
LiveCodeBench 65.9 Pass@1-COT Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
AIME 2024 79.8 Pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
MATH-500 97.3 Pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
Aider Polyglot 71.4% percent correct Base model: DeepSeek R1 (deepseek/deepseek-reasoner) 2026-05-31 Link
Artificial Analysis Intelligence Index 18.8 index score Base model: DeepSeek R1 (deepseek/deepseek-r1) 2026-05-31 Link
Artificial Analysis Coding Index 15.9 index score Base model: DeepSeek R1 (deepseek/deepseek-r1) 2026-05-31 Link
Artificial Analysis Agentic Index 3.8 index score Base model: DeepSeek R1 (deepseek/deepseek-r1) 2026-05-31 Link
MMLU 90.8 pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
GPQA Diamond 71.5 pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
LiveCodeBench 65.9 pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
Codeforces 2029 rating Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
SWE-bench Verified 49.2 resolved Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
Aider Polyglot 53.3 accuracy Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
AIME 2024 79.8 pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
MATH-500 97.3 pass@1 Base model: DeepSeek-R1 (DeepSeek-R1) 2026-05-31 Link
Artificial Analysis Intelligence Index 18.8 score Base model: deepseek-r1 (deepseek/deepseek-r1) 2026-05-31 Link
Artificial Analysis Coding Index 15.9 score Base model: deepseek-r1 (deepseek/deepseek-r1) 2026-05-31 Link
Artificial Analysis Agentic Index 3.8 score Base model: deepseek-r1 (deepseek/deepseek-r1) 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-r1-671b
lambda_ai
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
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
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In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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Partial I/O overlap
Overall 55%
hermes3-405b
lambda_ai
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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Same provider
Overall 55%
llama3.1-405b-instruct-fp8
lambda_ai
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
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Overall 55%
minimax-m2
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In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
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Partial I/O overlap
Overall 51%
deepseek-llama3.3-70b
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In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 51%
deepseek-r1-0528
lambda_ai
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 51%
glm-4.5-air
novita
In $0.1300 / 1M tokens
Out $0.8500 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Partial I/O overlap
Overall 48%
glm-4.5
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Partial I/O overlap
Overall 47%
deepseek-v3-0324
lambda_ai
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 45%
qwen3-32b-fp8
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In $0.0500 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
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Overall 42%
deepseek-r1-turbo
novita
In $0.7000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
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Partial I/O overlap
Overall 38%
qwen3-235b-a22b-thinking-2507
novita
In $0.3000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 35%
deepseek-r1-distill-llama-70b
novita
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
text
Output: text
Tool choiceReasoningSystem messages
8.2K
Partial I/O overlap
Overall 33%
qwen2.5-vl-72b-instruct
novita
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
imagetext
Output: text
System messages
32.8K
Partial I/O overlap
Overall 28%
together-ai-21.1b-41b
Together AI
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 20%