DeepSeek-R1 Distill Llama 70B: Benchmarks

No published category-wide ranking is available for this model.

Entries 1-12 of 14. Page 1 of 2.

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

AIME24 (Show measurement, test conditions, and source)

Source value: 70
Score: 70
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:0
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

AIME24 cons@64 (Show measurement, test conditions, and source)

Source value: 86.7
Score: 86.7
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:1
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

MATH500 (Show measurement, test conditions, and source)

Source value: 94.5
Score: 94.5
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:2
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

GPQA (Show measurement, test conditions, and source)

Source value: 65.2
Score: 65.2
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:3
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

LiveCode (Show measurement, test conditions, and source)

Source value: 57.5
Score: 57.5
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:4
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

Codeforces rating (Show measurement, test conditions, and source)

Source value: 1633
Score: 1633
Metric: rating
Unit: rating
Category: reasoning
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:5
Source type: vendor-reported
Evaluator: DeepSeek R1 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. distill comparison table; source states Llama-3.3-70B base

Source DeepSeek R1 model card

Artificial Analysis Intelligence Index (Show measurement, test conditions, and source)

Source value: 7.88824581191087
Score: 7.88824581191087
Metric: points
Unit: points
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:6
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

AA-Omniscience Index (Show measurement, test conditions, and source)

Source value: -46.3833333333333
Score: -46.3833333333333
Metric: points
Unit: points
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:7
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

Output speed (Show measurement, test conditions, and source)

Source value: 21.6836262610367
Score: 21.6836262610367
Metric: tokens/s
Unit: tokens/s
Direction: Higher is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:8
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Latency reasoning time (Show measurement, test conditions, and source)

Source value: 92.23549492705467
Score: 92.23549492705467
Metric: seconds
Unit: seconds
Direction: Lower is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:9
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Latency input time (Show measurement, test conditions, and source)

Source value: 0.97468479600002
Score: 0.97468479600002
Metric: seconds
Unit: seconds
Direction: Lower is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:10
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Answer generation time (end-to-end timing breakdown) (Show measurement, test conditions, and source)

Source value: 23.05887373176367
Score: 23.05887373176367
Metric: seconds
Unit: seconds
Direction: Lower is better
Comparison cohort: research:deepseek-r1-distill-llama-70b:11
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

DeepSeek-R1 Distill Llama 70B

Not tested yet

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

Profile

Specifications and access

Published information about this model. Existing estimates are explicitly labeled.

Weights: Open weightsSource
Access: APISource
Parameters: 70BSource
Context window: 128,000 tokensSource

Additional source observations

Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.

License: MITSource
Parameters: 70 BSource
Architecture: Llama 3.3 distilled reasoning modelSource
Context window: 128,000 tokens (Context inherited from the R1 card; exact distilled tokenizer context not separately stated)Source
Reasoning mode: distilled reasoning modelSource

Pricing

Published prices

Prices apply to the stated unit. Resolution, output length, and provider can change the cost.

API input: $0.8 per 1M tokensSource
API output: $0.8 per 1M tokensSource

Cost example

100 API requests

$0.12

100 requests with 1,000 input and 500 output tokens each calculate to $0.12. Input accounts for $0.08; output accounts for $0.04.

Input price: $0.8 / 1M tokensBase tier for each request
Output price: $0.8 / 1M tokensBase tier for each request

The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.

Open source

Head-to-head comparisons

Compare this model

Each matchup compares this model with exactly one other model from the same category.

There are no published direct comparisons for this model yet.

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Evidence

Sources and data date

Every statement links to its underlying documentation or leaderboard.

Speed: Median across serving providers. Output speed after the first streaming chunk, not total response time. Classified as deprecated by Artificial Analysis. Artificial Analysis maintains only the default 10K-input workload there. Retrieved September 8, 2026.
Artificial Analysis Methodology
Price: Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
Pricing

Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.

Open evidence questions and research notes (original wording)

Unresolved

license. Distilled weights combine DeepSeek release terms with Llama 3.3 license; the checked card does not provide a single unambiguous effective license field.

Unresolved

release-date. No normalized release-date field.

Model metadataSource
Context window dataSource
API pricingSource
DeepSeek R1 model card (retrieved September 8, 2026)Source
Artificial Analysis (retrieved September 8, 2026)Source
Speed measurement methodologySource