whichllmmodel
Back to Dashboard
Google

Gemma 4 E4B

VS
Mistral AI

Ministral 3 3B (Instruct)

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemma 4 E4B is the premium intelligence choice, scoring 52.0% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Ministral 3 3B (Instruct) offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemma 4 E4B fully justifies the cost.

Model Specs

Gemma 4 E4B

Benchmarks & Scores

Coding (live-code-bench)Winner (+)
52%
Reasoning (gpqa-diamond)Winner (+)
58.6%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Context Window
131.07k tokens
Model Specs

Ministral 3 3B (Instruct)

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
$0.10Input: $0.10 | Output: $0.10
Context WindowLarger
262.14k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Gemma 4 E4B is better for coding tasks. It scores 52% on coding evaluations (swe-bench-pro) compared to Ministral 3 3B (Instruct) which scores N/A.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard