Gemma 4 E2B vs Llama 3.1 70B
At a Glance
| Compare |  Gemma 4 E2BGoogle DeepMind |  Llama 3.1 70BMeta |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 131K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Gemma 4 E2B | Llama-3.1-70B |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemma 4 | Llama 3 1 70b |
| Model | Gemma 4 E2B | Llama-3.1-70B |
| Version | Gemma 4 E2B | Llama-3.1-70B |
| Lifecycle | active | active |
| Released | 2026-03-02 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | Unknown | 70.6B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | generation |
Gemma 4 E2B Capabilities
Llama 3.1 70B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 E2B vs Llama 3.1 70B FAQs
Is Gemma 4 E2B or Llama 3.1 70B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Llama 3.1 70B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 E2B or Llama 3.1 70B?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Gemma 4 E2B or Llama 3.1 70B?+
Neither model has a larger sourced context window in this comparison. Gemma 4 E2B is 131K and Llama 3.1 70B is 131K.
Which performs better in benchmarks, Gemma 4 E2B or Llama 3.1 70B?+
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 Llama 3.1 70B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 E2B is open weight; Llama 3.1 70B is open weight.
Can Gemma 4 E2B and Llama 3.1 70B understand images?+
Gemma 4 E2B is documented with image input; Llama 3.1 70B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 E2B or Llama 3.1 70B?+
Neither has a larger sourced maximum output. Gemma 4 E2B is — and Llama 3.1 70B is —.
Do Gemma 4 E2B and Llama 3.1 70B support reasoning and tool use?+
Gemma 4 E2B: reasoning, tool calling, and image input. Llama 3.1 70B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 E2B or Llama 3.1 70B?+
Gemma 4 E2B has 1 sourced provider route; Llama 3.1 70B has 1, a tie.
Which offers better value, Gemma 4 E2B or Llama 3.1 70B?+
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.