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DeepSeek-R1-Distill-Llama-70B

ovhcloud · chat model

DeepSeek-R1-Distill-Llama-70B is listed here as a chat model from ovhcloud. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.6700 / 1M tokens
Output
$0.6700 / 1M tokens
Cached input
N/A
Context
131.0K
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
$0.6700 / 1M tokens
Output
$0.6700 / 1M tokens
Embedding
$0.6700 / 1M tokens

Token limits

Context window
131.0K
Max input tokens
131.0K
Max output tokens
131.0K
Max tokens
131.0K

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

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-R1-Distill-Llama-70B
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Function callingTool choiceReasoningResponse schema
131.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Meta-Llama-3_3-70B-Instruct
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 54%
gpt-oss-120b
fireworks_ai
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
131.1K
Partial I/O overlap
Overall 52%
openai.gpt-oss-120b-1:0
bedrock_converse
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoningResponse schema
128.0K
Partial I/O overlap
Overall 52%
deepseek-r1-distill-llama-70b
vercel_ai_gateway
In $0.7500 / 1M tokens
Out $0.9900 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
131.1K
Partial I/O overlap
Overall 49%
deepseek-v3p2
fireworks_ai
In $0.5600 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
163.8K
Partial I/O overlap
Overall 49%
qwen-3-32b
cerebras
In $0.4000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
128.0K
Partial I/O overlap
Overall 48%
glm-4p5-air
fireworks_ai
In $0.2200 / 1M tokens
Out $0.8800 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
96.0K
Partial I/O overlap
Overall 47%
glm-4p5
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
96.0K
Partial I/O overlap
Overall 47%
glm-4p7
fireworks_ai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
202.8K
Partial I/O overlap
Overall 46%
glm-4p6
fireworks_ai
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
202.8K
Partial I/O overlap
Overall 45%
openai.gpt-oss-safeguard-120b
bedrock_mantle
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoningResponse schema
65.5K
Partial I/O overlap
Overall 44%
magistral-small-2506
Mistral
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
40.0K
Partial I/O overlap
Overall 41%
magistral-small-latest
Mistral
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choiceReasoningResponse schema
40.0K
Partial I/O overlap
Overall 41%
open-mixtral-8x7b
Mistral
In $0.7000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
8.2K
Partial I/O overlap
Overall 39%
Llama-3.1-8B-Instruct
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 37%
Mistral-7B-Instruct-v0.3
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
127.0K
Same provider
Overall 36%
Mistral-Nemo-Instruct-2407
ovhcloud
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
118.0K
Same provider
Overall 36%
Mistral-Small-3.2-24B-Instruct-2506
ovhcloud
In $0.0900 / 1M tokens
Out $0.2800 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
128.0K
Same provider
Overall 35%
gpt-oss-120b
ovhcloud
In $0.0800 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
ReasoningResponse schema
131.0K
Same provider
Overall 35%
Meta-Llama-3_1-70B-Instruct
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Low overlap
131.0K
Same provider
Overall 35%
mixtral-8x22b-instruct
OpenRouter
In $0.6500 / 1M tokens
Out $0.6500 / 1M tokens
filetext
Output: text
Tool choice
65.5K
Partial I/O overlap
Overall 33%
Llama-3.3-70B-Instruct
azure_ai
In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Partial I/O overlap
Overall 32%
llama3.3-70b-instruct
gradient_ai
In $0.6500 / 1M tokens
Out $0.6500 / 1M tokens
Output: unknown
Low overlap
2.0K
Partial I/O overlap
Overall 20%