LLM Reference

Gemini 2.5 Pro Preview 06-05 vs Llama 3.2 11B Instruct

Gemini 2.5 Pro Preview 06-05 (2025) and Llama 3.2 11B Instruct (2025) are compact production models from Google DeepMind and AI at Meta. Gemini 2.5 Pro Preview 06-05 ships a 1m-token context window, while Llama 3.2 11B Instruct ships a 128k-token context window. On pricing, Llama 3.2 11B Instruct costs $0.20/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Llama 3.2 11B Instruct is ~525% cheaper at $0.20/1M; pay for Gemini 2.5 Pro Preview 06-05 only for coding workflow support.

Decision scorecard

Local evidence first
SignalGemini 2.5 Pro Preview 06-05Llama 3.2 11B Instruct
Best formultimodal apps and long-context analysismultimodal apps
Decision fitCoding, RAG, and AgentsRAG, Long context, and Vision
Context window1m128k
Cheapest output$10/1M tokens$0.27/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 2.5 Pro Preview 06-05 when...
  • Gemini 2.5 Pro Preview 06-05 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro Preview 06-05 uniquely exposes Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro Preview 06-05 for Coding, RAG, and Agents.
Choose Llama 3.2 11B Instruct when...
  • Llama 3.2 11B Instruct has the lower cheapest tracked output price at $0.27/1M tokens.
  • Local decision data tags Llama 3.2 11B Instruct for RAG, Long context, and Vision.

Monthly cost at traffic

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

Lower estimate Llama 3.2 11B Instruct

Gemini 2.5 Pro Preview 06-05

$3,500

Cheapest tracked route/tier: OpenRouter

Llama 3.2 11B Instruct

$228

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $3,273. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro Preview 06-05 -> Llama 3.2 11B Instruct
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro Preview 06-05 and Llama 3.2 11B Instruct; plan for SDK, billing, or endpoint changes.
  • Llama 3.2 11B Instruct is $9.73/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
Llama 3.2 11B Instruct -> Gemini 2.5 Pro Preview 06-05
  • No overlapping tracked provider route is sourced for Llama 3.2 11B Instruct and Gemini 2.5 Pro Preview 06-05; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Pro Preview 06-05 is $9.73/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro Preview 06-05 adds Code execution in local capability data.

Specs

Specification
Released2025-03-252025-09-01
Context window1m128k
Parameters11B
Architecturedecoder only-
LicenseProprietaryLlama 3 Community
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff-2023-12

Pricing and availability

Pricing attributeGemini 2.5 Pro Preview 06-05Llama 3.2 11B Instruct
Input price$1.25/1M tokens$0.20/1M tokens
Output price$10/1M tokens$0.27/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 Pro Preview 06-05Llama 3.2 11B Instruct
VisionYesYes
MultimodalYesYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on code execution: Gemini 2.5 Pro Preview 06-05. Both models share vision, multimodal input, 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.

For cost, Gemini 2.5 Pro Preview 06-05 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while Llama 3.2 11B Instruct lists $0.20/1M input and $0.27/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 11B Instruct lower by about $3.65 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Gemini 2.5 Pro Preview 06-05 when coding workflow support and larger context windows are central to the workload. Choose Llama 3.2 11B Instruct when vision-heavy evaluation and lower input-token cost 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.

FAQ

Which has a larger context window, Gemini 2.5 Pro Preview 06-05 or Llama 3.2 11B Instruct?

Gemini 2.5 Pro Preview 06-05 supports 1m tokens, while Llama 3.2 11B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 06-05 costs $1.25/1M input and $10/1M output tokens. Llama 3.2 11B Instruct costs $0.20/1M input and $0.27/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Pro Preview 06-05 or Llama 3.2 11B Instruct open source?

Gemini 2.5 Pro Preview 06-05 is listed under Proprietary. Llama 3.2 11B Instruct is listed under Llama 3 Community. 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, Gemini 2.5 Pro Preview 06-05 or Llama 3.2 11B Instruct?

Both Gemini 2.5 Pro Preview 06-05 and Llama 3.2 11B Instruct 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, Gemini 2.5 Pro Preview 06-05 or Llama 3.2 11B Instruct?

Both Gemini 2.5 Pro Preview 06-05 and Llama 3.2 11B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemini 2.5 Pro Preview 06-05 and Llama 3.2 11B Instruct?

Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. Llama 3.2 11B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.