Gemma 4 E2B vs Kimi K3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemma 4 E2B | Kimi-K3 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | UnrankedNot in the 22-model eligible cohort | #11 of 2271.3 score |
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #24 of 36$0.194 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | UnrankedNot in the 22-model eligible cohort | #13 of 2251.7 score |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 E2B | Kimi-K3 |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemma 4 | Kimi K3 |
| Model | Gemma 4 E2B | Kimi-K3 |
| Version | Gemma 4 E2B | Kimi-K3 |
| Lifecycle | active | active |
| Released | 2026-03-02 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | Unknown | 2.8T |
| Active parameters | Unknown | 104B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning |
15 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 E2B Capabilities
Kimi K3 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs Kimi K3 FAQs
Is Gemma 4 E2B or Kimi K3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or Kimi K3?+
Only Kimi K3 has a directly sourced input price: $2.85 per million tokens. Only Kimi K3 has a directly sourced output price: $14.25 per million tokens.
Which has a larger context window, Gemma 4 E2B or Kimi K3?+
Kimi K3 has the larger sourced context window. Gemma 4 E2B supports 131K and Kimi K3 supports 1,049K.
Which performs better in benchmarks, Gemma 4 E2B or Kimi K3?+
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 Kimi K3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 E2B is open weight; Kimi K3 is open weight.
Can Gemma 4 E2B and Kimi K3 understand images?+
Gemma 4 E2B is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or Kimi K3?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and Kimi K3 is —.
Do Gemma 4 E2B and Kimi K3 support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or Kimi K3?+
Gemma 4 E2B has 1 sourced provider route; Kimi K3 has 5, so Kimi K3 has broader tracked availability.
Which offers better value, Gemma 4 E2B or Kimi K3?+
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.