Gemma 4 E2B vs Grok 4.6

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGemma 4 E2BGrok 4.6
IntelligenceHigher is better · MM Intelligence v1.2UnrankedNot in the 22-model eligible cohort#13 of 2267.6 score
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#18 of 36$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.0UnrankedNot in the 22-model eligible cohort#8 of 2256.6 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

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Google DeepMind · activeGemma 4 E2BVerified Sep 3, 2026
xAI · activeGrok 4.6Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemma 4 E2BGrok 4.6
DeveloperGoogle DeepMindxAI
FamilyGemma 4Grok 4
ModelGemma 4 E2BGrok 4.6
VersionGemma 4 E2BGrok 4.6
Lifecycleactiveactive
Released2026-03-02Unknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesText, Image, Video, AudioText, Image
Output modalitiesTextText
Context window131K500K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessTogether Ai (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Gemma 4 E2B Capabilities

chatgenerationreasoningstructured outputstools
Input price
Output price
Serving providers1
Canonical IDgoogle/gemma-4-E2B-it

Grok 4.6 Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$6.00
Serving providers1
Canonical IDxai/grok-4.6

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemma 4 E2B vs Grok 4.6 FAQs

Is Gemma 4 E2B or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E2B or Grok 4.6?+

Only Grok 4.6 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.6 has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Gemma 4 E2B or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Gemma 4 E2B supports 131K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Gemma 4 E2B or Grok 4.6?+

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 Grok 4.6 be self-hosted?+

Gemma 4 E2B is the only model in this pair currently marked as self-hostable. Gemma 4 E2B is open weight; Grok 4.6 is not marked open weight.

Can Gemma 4 E2B and Grok 4.6 understand images?+

Gemma 4 E2B is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E2B or Grok 4.6?+

Neither has a larger sourced maximum output. Gemma 4 E2B is — and Grok 4.6 is —.

Do Gemma 4 E2B and Grok 4.6 support reasoning and tool use?+

Gemma 4 E2B: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E2B or Grok 4.6?+

Gemma 4 E2B has 1 sourced provider route; Grok 4.6 has 1, a tie.

Which offers better value, Gemma 4 E2B or Grok 4.6?+

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.

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