Gemma 4 E2B vs Mistral Large 3
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 E2B | Mistral Large 3 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemma 4 | Mistral Large 3 |
| Model | Gemma 4 E2B | Mistral Large 3 |
| Version | Gemma 4 E2B | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2026-03-02 | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | Unknown | 675B |
| Active parameters | Unknown | 41B |
| License | apache-2.0 | Apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, generation, structured_outputs, tools, vision |
15 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 E2B Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs Mistral Large 3 FAQs
Is Gemma 4 E2B or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or Mistral Large 3?+
Only Mistral Large 3 has a directly sourced input price: $0.50 per million tokens. Only Mistral Large 3 has a directly sourced output price: $1.50 per million tokens.
Which has a larger context window, Gemma 4 E2B or Mistral Large 3?+
Mistral Large 3 has the larger sourced context window. Gemma 4 E2B supports 131K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, Gemma 4 E2B or Mistral Large 3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 E2B or Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 E2B is open weight; Mistral Large 3 is open weight.
Can Gemma 4 E2B and Mistral Large 3 understand images?+
Gemma 4 E2B is documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or Mistral Large 3?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and Mistral Large 3 is —.
Do Gemma 4 E2B and Mistral Large 3 support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or Mistral Large 3?+
Gemma 4 E2B has 1 sourced provider route; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.
Which offers better value, Gemma 4 E2B or Mistral Large 3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.