Gemma 4 12B vs Grok 4.20 Multi Agent
At a Glance
| Compare |  Gemma 4 12BGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 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 12B | Grok 4.20 Multi-Agent |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Family | Gemma 4 | Grok 4 20 |
| Model | Gemma 4 12B | Grok 4.20 Multi-Agent |
| Version | Gemma 4 12B | Grok 4.20 Multi-Agent |
| Lifecycle | active | preview |
| Released | 2026-05-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 12B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | generation, reasoning, research, tools |
Gemma 4 12B Capabilities
Grok 4.20 Multi Agent Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 12B vs Grok 4.20 Multi Agent FAQs
Is Gemma 4 12B or Grok 4.20 Multi Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 12B and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 12B or Grok 4.20 Multi Agent?+
Only Grok 4.20 Multi Agent has a directly sourced input price: $1.25 per million tokens. Only Grok 4.20 Multi Agent has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Gemma 4 12B or Grok 4.20 Multi Agent?+
Grok 4.20 Multi Agent has the larger sourced context window. Gemma 4 12B supports 262K and Grok 4.20 Multi Agent supports 1,000K.
Which performs better in benchmarks, Gemma 4 12B or Grok 4.20 Multi Agent?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 12B or Grok 4.20 Multi Agent be self-hosted?+
Gemma 4 12B is the only model in this pair currently marked as self-hostable. Gemma 4 12B is open weight; Grok 4.20 Multi Agent is not marked open weight.
Can Gemma 4 12B and Grok 4.20 Multi Agent understand images?+
Gemma 4 12B is documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 12B or Grok 4.20 Multi Agent?+
Neither has a larger sourced maximum output. Gemma 4 12B is — and Grok 4.20 Multi Agent is —.
Do Gemma 4 12B and Grok 4.20 Multi Agent support reasoning and tool use?+
Gemma 4 12B: reasoning, tool calling, and image input. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 12B or Grok 4.20 Multi Agent?+
Gemma 4 12B has 1 sourced provider route; Grok 4.20 Multi Agent has 1, a tie.
Which offers better value, Gemma 4 12B or Grok 4.20 Multi Agent?+
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.