LLM Reference

Claude Haiku 4.5 vs Gemma 4 12B

Claude Haiku 4.5 (2025) and Gemma 4 12B (2026) are frontier reasoning models from Anthropic and Google DeepMind. Claude Haiku 4.5 ships a 200k-token context window, while Gemma 4 12B ships a 256k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Gemma 4 12B is safer overall; choose Claude Haiku 4.5 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalClaude Haiku 4.5Gemma 4 12B
Best formultimodal apps, tool-calling agents, and provider-routed productionreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window200k256k
Cheapest output$4/1M tokens-
Provider routes8 tracked2 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Claude Haiku 4.5 when...
  • Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Haiku 4.5 uniquely exposes Code execution in local model data.
  • Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
Choose Gemma 4 12B when...
  • Gemma 4 12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 12B uniquely exposes Reasoning in local model data.
  • Local decision data tags Gemma 4 12B for RAG, Agents, and Long context.

Monthly cost at traffic

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

Claude Haiku 4.5

$1,640

Cheapest tracked route/tier: AWS Bedrock

Gemma 4 12B

Unavailable

No complete token price in local provider data

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

Switch friction

Claude Haiku 4.5 -> Gemma 4 12B
  • No overlapping tracked provider route is sourced for Claude Haiku 4.5 and Gemma 4 12B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Code execution before moving production traffic.
  • Gemma 4 12B adds Reasoning in local capability data.
Gemma 4 12B -> Claude Haiku 4.5
  • No overlapping tracked provider route is sourced for Gemma 4 12B and Claude Haiku 4.5; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Claude Haiku 4.5 adds Code execution in local capability data.

Specs

Specification
Released2025-10-012026-06-03
Context window200k256k
Parameters12B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-022025-01

Pricing and availability

Pricing attributeClaude Haiku 4.5Gemma 4 12B
Input price$0.80/1M tokens-
Output price$4/1M tokens-
Providers

Capabilities

CapabilityClaude Haiku 4.5Gemma 4 12B
VisionYesYes
MultimodalYesYes
ReasoningNoYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Gemma 4 12B and code execution: Claude Haiku 4.5. Both models share vision, multimodal input, function calling, and tool use, 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: Claude Haiku 4.5 has $0.80/1M input tokens and Gemma 4 12B has no token price sourced yet. Provider availability is 8 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Claude Haiku 4.5 when coding workflow support and broader provider choice are central to the workload. Choose Gemma 4 12B 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Claude Haiku 4.5 or Gemma 4 12B?

Gemma 4 12B supports 256k tokens, while Claude Haiku 4.5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Claude Haiku 4.5 or Gemma 4 12B open source?

Claude Haiku 4.5 is listed under Proprietary. Gemma 4 12B 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, Claude Haiku 4.5 or Gemma 4 12B?

Both Claude Haiku 4.5 and Gemma 4 12B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for multimodal input, Claude Haiku 4.5 or Gemma 4 12B?

Both Claude Haiku 4.5 and Gemma 4 12B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, Claude Haiku 4.5 or Gemma 4 12B?

Gemma 4 12B 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 Claude Haiku 4.5 and Gemma 4 12B?

Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Gemma 4 12B 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.