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DeepSeek R1 Distill Llama 70B vs GPT-4.1 mini

DeepSeek R1 Distill Llama 70B and GPT-4.1 mini are closely matched at 14.5 and 14.0 on the LLM Stats Score. DeepSeek R1 Distill Llama 70B is 4.0x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B and GPT-4.1 mini are closely matched on the overall LLM Stats Score at 14.5 and 14.0.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Llama 70B is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 mini also accepts a larger context window (1,047,576 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

  • your work emphasizes coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 4.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-4.1 mini

  • you process long inputs — it offers a 1,047,576 token context window
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
14.5
#243
14.0
#247
14.7
#236
13.9
#240
8.6
#187
-3.3
#261
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$0.40 / M
Output price
$0.40 / M
$1.60 / M
Context window
128,000
1,047,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
GPT-4.1 mini
16.5#204
13.6#227
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 28 for GPT-4.1 mini

2 shared

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, GPQA), while GPT-4.1 mini is better at 0 benchmarks.

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

Fri Oct 02 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 4.0x cheaper than GPT-4.1 mini ($0.40/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 4.0x cheaper than GPT-4.1 mini ($1.60/1M tokens).

In conclusion, GPT-4.1 mini 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
Fri Oct 02 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-4.1 mini accepts 1,047,576 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 mini supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

GPT-4.1 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-4.1 mini 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-4.1 mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-4.1 mini was released on 2025-04-14.

GPT-4.1 mini is 3 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.7 years ago

GPT-4.1 mini

Apr 14, 2025

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

GPT-4.1 mini

May 2024

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-4.1 mini is available from OpenAI.

DeepSeek R1 Distill Llama 70B

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

GPT-4.1 mini

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* 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-4.1 mini side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
GPT-4.1 mini
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GPT-4.1 mini.

Which is better, DeepSeek R1 Distill Llama 70B or GPT-4.1 mini?

DeepSeek R1 Distill Llama 70B and GPT-4.1 mini are closely matched on the LLM Stats Score at 14.5 and 14.0. DeepSeek R1 Distill Llama 70B is made by DeepSeek and GPT-4.1 mini 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-4.1 mini in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%.

Is DeepSeek R1 Distill Llama 70B cheaper than GPT-4.1 mini?

DeepSeek R1 Distill Llama 70B is 4.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and GPT-4.1 mini?

DeepSeek R1 Distill Llama 70B supports 128K tokens and GPT-4.1 mini supports 1.0M 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-4.1 mini?

Key differences include LLM Stats Score (14.5 vs 14.0), context window (128K vs 1.0M), input pricing ($0.10 vs $0.40/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and GPT-4.1 mini?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GPT-4.1 mini is developed by OpenAI.