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DeepSeek R1 Distill Llama 70B vs GPT-3.5 Turbo

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -9.4. DeepSeek R1 Distill Llama 70B is 4.3x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.5 to -9.4, ranking #243 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Llama 70B is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek R1 Distill Llama 70B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • overall performance matters — it scores 14.5 and ranks #243 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 4.3x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
GPT-3.5 Turbo
OpenAI
Core performance indexes
LLM Stats Score
14.5
#243
-9.4
#372
Reasoning
14.7
#236
-8.7
#365
Coding
8.6
#187
-4.5
#266
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
$0.50 / M
Output price
$0.40 / M
$1.50 / M
Context window
128,000
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
GPT-3.5 Turbo
Math
16.5#204
-2.3#311
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 8 for GPT-3.5 Turbo

1 shared

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Sat Oct 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 5.0x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 3.8x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than DeepSeek R1 Distill Llama 70B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Oct 03 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek R1 Distill Llama 70B accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Oct 03 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-3.5 Turbo uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-3.5 Turbo was released on 2023-03-21.

DeepSeek R1 Distill Llama 70B is 22 months newer than GPT-3.5 Turbo.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.7 years ago

1.8yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

GPT-3.5 Turbo

Sep 2021

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-3.5 Turbo is available from Azure, OpenAI.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GPT-3.5 Turbo.

Which is better, DeepSeek R1 Distill Llama 70B or GPT-3.5 Turbo?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -9.4. DeepSeek R1 Distill Llama 70B is made by DeepSeek and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 70B compare to GPT-3.5 Turbo in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is DeepSeek R1 Distill Llama 70B cheaper than GPT-3.5 Turbo?

DeepSeek R1 Distill Llama 70B is 5.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and GPT-3.5 Turbo?

DeepSeek R1 Distill Llama 70B supports 128K tokens and GPT-3.5 Turbo supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Llama 70B and GPT-3.5 Turbo?

Key differences include LLM Stats Score (14.5 vs -9.4), context window (128K vs 16K), input pricing ($0.10 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and GPT-3.5 Turbo?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GPT-3.5 Turbo is developed by OpenAI.

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