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DeepSeek R1 Distill Llama 70B vs Gemma 3 4B

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -1.9. Gemma 3 4B is 7.0x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.5 to -1.9, ranking #251 overall.

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, Gemma 3 4B is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 3 4B also accepts a larger context window (131,072 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 #251 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Gemma 3 4B

  • cost matters — it's about 7.0x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Mar 2025

At a glance

The differences that matter most.

Core performance indexes
14.5
#251
-1.9
#353
14.7
#244
-2.9
#350
8.5
#193
-4.4
#270
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$0.02 / M
Output price
$0.40 / M
$0.04 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
Gemma 3 4B
16.5#208
5.0#281
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 26 for Gemma 3 4B

2 shared

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 4B is better at 0 benchmarks.

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

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 5.0x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 10.0x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Wed Oct 14 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

66.6B diff

DeepSeek R1 Distill Llama 70B has 66.6B more parameters than Gemma 3 4B, making it 1665.0% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Google
Gemma 3 4B
4.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

Gemma 3 4B accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 4B supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Gemma 3 4B 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

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Gemma 3 4B uses Gemma.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 2 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.7 years ago

Gemma 3 4B

Mar 12, 2025

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

Gemma 3 4B

Aug 2024

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Gemma 3 4B is available from DeepInfra.

DeepSeek R1 Distill Llama 70B

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

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* 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 Gemma 3 4B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Gemma 3 4B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Gemma 3 4B.

Which is better, DeepSeek R1 Distill Llama 70B or Gemma 3 4B?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to -1.9. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Gemma 3 4B is made by Google. 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 Gemma 3 4B in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.

Is DeepSeek R1 Distill Llama 70B cheaper than Gemma 3 4B?

Gemma 3 4B is 5.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Gemma 3 4B?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Gemma 3 4B supports 131K 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 Gemma 3 4B?

Key differences include LLM Stats Score (14.5 vs -1.9), context window (128K vs 131K), input pricing ($0.10 vs $0.02/M), multimodal support (no vs yes), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Gemma 3 4B?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Gemma 3 4B is developed by Google.