Gemma 3 4B vs Grok-2
Grok-2 leads the LLM Stats Score 11.4 to -1.9. Gemma 3 4B is 160.0x cheaper per token.
Google · xAI · Updated for 2026
Which is better?
Grok-2 leads the overall LLM Stats Score 11.4 to -1.9, ranking #258 overall.
In the 5 individual benchmarks reported for both models, Grok-2 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 4B is roughly 160.0x 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 Gemma 3 4B
- cost matters — it's about 160.0x 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
- you need open weights you can self-host or fine-tune
Choose Grok-2
- overall performance matters — it scores 11.4 and ranks #258 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 8 for Grok-2
Gemma 3 4B outperforms in 0 benchmarks, while Grok-2 is better at 5 benchmarks (DocVQA, GPQA, HumanEval, MATH, MMLU-Pro).
Grok-2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 100.0x cheaper than Grok-2 ($2.00/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 250.0x cheaper than Grok-2 ($10.00/1M tokens).
In conclusion, Grok-2 is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemma 3 4B accepts 131,072 input tokens compared to Grok-2's 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and Grok-2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
Grok-2
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Grok-2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Grok-2 was released on 2024-08-13.
Gemma 3 4B is 7 months newer than Grok-2.
Mar 12, 2025
1.5 years ago
7mo newerAug 13, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Grok-2'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 Grok-2's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. Grok-2 is available from xAI.
Gemma 3 4B
Grok-2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and Grok-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs Grok-2.