Gemma 4 12B vs Codestral 22B v0.1

At a Glance

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Gemma 4 12BGoogle DeepMind
Pricing and Limits
Context windowMaximum documented tokens262K33K
Model facts checkedSep 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

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 12BCodestral-22B-v0.1
DeveloperGoogle DeepMindMistral AI
FamilyGemma 4Codestral 22b V0 1
ModelGemma 4 12BCodestral-22B-v0.1
VersionGemma 4 12BCodestral-22B-v0.1
Lifecycleactiveactive
Released2026-05-23Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window262K33K
Total parameters12B22.2B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessTogether Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration

Gemma 4 12B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDgoogle/gemma-4-12B-it

Codestral 22B v0.1 Capabilities

generation
Serving providers0
Canonical IDmistralai/Codestral-22B-v0.1

Primary Evidence

Sources and Freshness

Questions

Gemma 4 12B vs Codestral 22B v0.1 FAQs

Is Gemma 4 12B or Codestral 22B v0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 12B and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 12B or Codestral 22B v0.1?+

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 12B or Codestral 22B v0.1?+

Gemma 4 12B has the larger sourced context window. Gemma 4 12B supports 262K and Codestral 22B v0.1 supports 33K.

Which performs better in benchmarks, Gemma 4 12B or Codestral 22B v0.1?+

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 Codestral 22B v0.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 12B is open weight; Codestral 22B v0.1 is open weight.

Can Gemma 4 12B and Codestral 22B v0.1 understand images?+

Gemma 4 12B is documented with image input; Codestral 22B v0.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 12B or Codestral 22B v0.1?+

Neither has a larger sourced maximum output. Gemma 4 12B is — and Codestral 22B v0.1 is —.

Do Gemma 4 12B and Codestral 22B v0.1 support reasoning and tool use?+

Gemma 4 12B: reasoning, tool calling, and image input. Codestral 22B v0.1: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 12B or Codestral 22B v0.1?+

Gemma 4 12B has 1 sourced provider route; Codestral 22B v0.1 has 0, so Gemma 4 12B has broader tracked availability.

Which offers better value, Gemma 4 12B or Codestral 22B v0.1?+

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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