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Qwen2.5 72B Instruct vs R1 Distill Llama 70B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen2.5 72B Instruct and R1 Distill Llama 70B.

Alibaba

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

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DeepSeek

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

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Technical Specifications

SpecificationQwen2.5 72B InstructR1 Distill Llama 70B
ProviderAlibabaDeepSeek
Context Window131,072 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-192025-01-23

API Pricing Comparison

Input Price per Million Tokens

Qwen2.5 72B Instruct

$0.36

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Qwen2.5 72B Instruct

$0.40

R1 Distill Llama 70B

$0.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8530.0%vs8520.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
8660.0%vs8830.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B
MATHComplex mathematical problem solving
7460.0%vs7000.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
4800.0%vs4450.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8820.0%vs8600.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
912.0%vs905.0%
Qwen2.5 72B Instruct
R1 Distill Llama 70B

Qwen2.5 72B Instruct Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.