LLM Reference

DeepSeek V3 vs Gemma 4 12B IT

DeepSeek V3 (2024) and Gemma 4 12B IT (2026) are frontier reasoning models from DeepSeek and Google DeepMind. DeepSeek V3 ships a 64k-token context window, while Gemma 4 12B IT ships a 256k-token context window. On MMLU PRO, Gemma 4 12B IT leads by 1.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemma 4 12B IT fits 4x more tokens; pick it for long-context work and DeepSeek V3 for tighter calls.

Decision scorecard

Local evidence first
SignalDeepSeek V3Gemma 4 12B IT
Best fortool-calling agents and provider-routed productionreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, Agents, and ClassificationCoding, RAG, and Agents
Context window64k256k
Cheapest output$0.30/1M tokens-
Provider routes13 tracked2 tracked
Shared benchmarks2 sharedMMLU PRO leader

Decision tradeoffs

Choose DeepSeek V3 when...
  • DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
Choose Gemma 4 12B IT when...
  • Gemma 4 12B IT holds a shared-benchmark lead on MMLU PRO, ahead by 1.3 points.
  • Gemma 4 12B IT has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 12B IT uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Gemma 4 12B IT for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

DeepSeek V3

$155

Cheapest tracked route/tier: Bitdeer AI

Gemma 4 12B IT

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

DeepSeek V3 -> Gemma 4 12B IT
  • No overlapping tracked provider route is sourced for DeepSeek V3 and Gemma 4 12B IT; plan for SDK, billing, or endpoint changes.
  • Gemma 4 12B IT adds Vision, Multimodal, and Reasoning in local capability data.
Gemma 4 12B IT -> DeepSeek V3
  • No overlapping tracked provider route is sourced for Gemma 4 12B IT and DeepSeek V3; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Specs

Specification
Released2024-12-262026-06-03
Context window64k256k
Parameters671B12B
ArchitectureMixture of ExpertsDecoder Only
LicenseMITOSI-approvedApache 2.0OSI-approved
OpennessOpen sourceOpen source
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff2024-042025-01

Pricing and availability

Pricing attributeDeepSeek V3Gemma 4 12B IT
Input price$0.10/1M tokens-
Output price$0.30/1M tokens-
Providers

Capabilities

CapabilityDeepSeek V3Gemma 4 12B IT
VisionNoYes
MultimodalNoYes
ReasoningNoYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek V3Gemma 4 12B IT
MMLU PRO75.977.2
LiveCodeBench49.672.0

Deep dive

On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and Gemma 4 12B IT at 77.2, with Gemma 4 12B IT ahead by 1.3 points; LiveCodeBench has DeepSeek V3 at 49.6 and Gemma 4 12B IT at 72, with Gemma 4 12B IT ahead by 22.4 points. The largest visible gap is 22.4 points on LiveCodeBench, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Gemma 4 12B IT, multimodal input: Gemma 4 12B IT, and reasoning mode: Gemma 4 12B IT. Both models share function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: DeepSeek V3 has $0.10/1M input tokens and Gemma 4 12B IT has no token price sourced yet. Provider availability is 13 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V3 when provider fit and broader provider choice are central to the workload. Choose Gemma 4 12B IT when reasoning depth and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, DeepSeek V3 or Gemma 4 12B IT?

Gemma 4 12B IT supports 256k tokens, while DeepSeek V3 supports 64k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is DeepSeek V3 or Gemma 4 12B IT open source?

DeepSeek V3 is listed under MIT. Gemma 4 12B IT is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, DeepSeek V3 or Gemma 4 12B IT?

Gemma 4 12B IT has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, DeepSeek V3 or Gemma 4 12B IT?

Gemma 4 12B IT has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, DeepSeek V3 or Gemma 4 12B IT?

Gemma 4 12B IT has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V3 and Gemma 4 12B IT?

DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Gemma 4 12B IT is available on Hugging Face Inference Endpoints and Kaggle Models. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.