Gemini 3 Flash vs Codestral 22B v0.1

At a Glance

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Gemini 3 FlashGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Google AI · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Google AI · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049K33K
Model facts checkedAug 29, 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

FieldGemini 3 FlashCodestral-22B-v0.1
DeveloperGoogle DeepMindMistral AI
FamilyGemini 3Codestral 22b V0 1
ModelGemini 3 FlashCodestral-22B-v0.1
VersionGemini 3 FlashCodestral-22B-v0.1
Lifecyclepreviewactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K33K
Total parametersUnknown22.2B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration

Gemini 3 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3-flash-preview

Codestral 22B v0.1 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemini 3 Flash vs Codestral 22B v0.1 FAQs

Is Gemini 3 Flash or Codestral 22B v0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 Flash and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3 Flash or Codestral 22B v0.1?+

Only Gemini 3 Flash has a directly sourced input price: $0.50 per million tokens. Only Gemini 3 Flash has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Gemini 3 Flash or Codestral 22B v0.1?+

Gemini 3 Flash has the larger sourced context window. Gemini 3 Flash supports 1,049K and Codestral 22B v0.1 supports 33K.

Which performs better in benchmarks, Gemini 3 Flash 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 Gemini 3 Flash or Codestral 22B v0.1 be self-hosted?+

Codestral 22B v0.1 is the only model in this pair currently marked as self-hostable. Gemini 3 Flash is not marked open weight; Codestral 22B v0.1 is open weight.

Can Gemini 3 Flash and Codestral 22B v0.1 understand images?+

Gemini 3 Flash 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, Gemini 3 Flash or Codestral 22B v0.1?+

Neither has a larger sourced maximum output. Gemini 3 Flash is 66K and Codestral 22B v0.1 is —.

Do Gemini 3 Flash and Codestral 22B v0.1 support reasoning and tool use?+

Gemini 3 Flash: 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, Gemini 3 Flash or Codestral 22B v0.1?+

Gemini 3 Flash has 2 sourced provider routes; Codestral 22B v0.1 has 0, so Gemini 3 Flash has broader tracked availability.

Which offers better value, Gemini 3 Flash 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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