DeepSeek V4 Pro vs Gemma 4 12B

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingDeepSeek-V4-ProGemma 4 12B
CostLower is better · Published-token output estimate#9 of 36$0.054 per LiveBench caseUnrankedNot in the 36-model eligible cohort

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
DeepSeek · activeDeepSeek V4 ProVerified Aug 28, 2026
Google DeepMind · activeGemma 4 12BVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldDeepSeek-V4-ProGemma 4 12B
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek V4 ProGemma 4
ModelDeepSeek-V4-ProGemma 4 12B
VersionDeepSeek-V4-ProGemma 4 12B
Lifecycleactiveactive
Released2026-04-242026-05-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio
Output modalitiesTextText
Context window1,049K262K
Total parameters1.6T12B
Active parameters49BUnknown
Licensemitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Together Ai (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, structured_outputs, tools

16 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

DeepSeek V4 Pro Capabilities

chatgenerationreasoning
Input price$0.66
Output price$1.5441
Serving providers6
Canonical IDdeepseek-ai/DeepSeek-V4-Pro

Gemma 4 12B Capabilities

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

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Pro vs Gemma 4 12B FAQs

Is DeepSeek V4 Pro or Gemma 4 12B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Gemma 4 12B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro or Gemma 4 12B?+

Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.

Which has a larger context window, DeepSeek V4 Pro or Gemma 4 12B?+

DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Gemma 4 12B supports 262K.

Which performs better in benchmarks, DeepSeek V4 Pro or Gemma 4 12B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can DeepSeek V4 Pro or Gemma 4 12B be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Gemma 4 12B is open weight.

Can DeepSeek V4 Pro and Gemma 4 12B understand images?+

DeepSeek V4 Pro is not documented with image input; Gemma 4 12B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Pro or Gemma 4 12B?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Gemma 4 12B is —.

Do DeepSeek V4 Pro and Gemma 4 12B support reasoning and tool use?+

DeepSeek V4 Pro: reasoning. Gemma 4 12B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro or Gemma 4 12B?+

DeepSeek V4 Pro has 6 sourced provider routes; Gemma 4 12B has 1, so DeepSeek V4 Pro has broader tracked availability.

Which offers better value, DeepSeek V4 Pro or Gemma 4 12B?+

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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