Gemma 4 E2B vs Granite 4.2 8B

At a Glance

Compare
Gemma 4 E2BGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4UnrankedNot in the 57-model eligible cohort#43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.060Deepinfra ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokensNot reported$0.25Deepinfra ↗ · Oct 19, 2026
Context windowMaximum documented tokens131K131K
Model facts checkedSep 3, 2026View model evidence →Sep 2, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemma 4 E2BGranite 4.2 8B
DeveloperGoogle DeepMindIBM
FamilyGemma 4Granite 4 2
ModelGemma 4 E2BGranite 4.2 8B
VersionGemma 4 E2BGranite 4.2 8B
Lifecycleactiveactive
Released2026-03-022026-08-25
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window131K131K
Total parametersUnknown8.8B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessTogether Ai (Standard)Deepinfra (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

Gemma 4 E2B Capabilities

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

Granite 4.2 8B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDibm-granite/granite-4.2-8b

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E2B vs Granite 4.2 8B FAQs

Is Gemma 4 E2B or Granite 4.2 8B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Granite 4.2 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E2B or Granite 4.2 8B?+

Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.25 per million tokens.

Which has a larger context window, Gemma 4 E2B or Granite 4.2 8B?+

Both models have the same sourced context window: 131,072 tokens each.

Which performs better in benchmarks, Gemma 4 E2B or Granite 4.2 8B?+

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 Granite 4.2 8B be self-hosted?+

Both models have the same sourced self-hosting status: supported. Gemma 4 E2B is open weight; Granite 4.2 8B is open weight.

Can Gemma 4 E2B and Granite 4.2 8B understand images?+

Gemma 4 E2B is documented with image input; Granite 4.2 8B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E2B or Granite 4.2 8B?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Gemma 4 E2B and Granite 4.2 8B support reasoning and tool use?+

Gemma 4 E2B: reasoning, tool calling, and image input. Granite 4.2 8B: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E2B or Granite 4.2 8B?+

Gemma 4 E2B has 1 sourced provider route; Granite 4.2 8B has 2, so Granite 4.2 8B has broader tracked availability.

Which offers better value, Gemma 4 E2B or Granite 4.2 8B?+

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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