LLM Reference

Gemini 2.5 Pro Preview 06-05 vs Llama 3.3 70B Instruct

Gemini 2.5 Pro Preview 06-05 (2025) and Llama 3.3 70B 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 3.3 70B Instruct ships a 128k-token context window. On pricing, Llama 3.3 70B Instruct costs $0.96/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemini 2.5 Pro Preview 06-05 fits 8x more tokens; pick it for long-context work and Llama 3.3 70B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 2.5 Pro Preview 06-05Llama 3.3 70B Instruct
Decision fitCoding, RAG, and AgentsRAG, Long context, and Classification
Context window1M128k
Cheapest output$10/1M tokens$1.28/1M 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 3.3 70B Instruct when...
  • Llama 3.3 70B Instruct has the lower cheapest tracked output price at $1.28/1M tokens.
  • Local decision data tags Llama 3.3 70B Instruct for RAG, Long context, and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Llama 3.3 70B Instruct

Gemini 2.5 Pro Preview 06-05

$3,500

Cheapest tracked route: OpenRouter

Llama 3.3 70B Instruct

$1,088

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $2,412. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro Preview 06-05 -> Llama 3.3 70B Instruct
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro Preview 06-05 and Llama 3.3 70B Instruct; plan for SDK, billing, or endpoint changes.
  • Llama 3.3 70B Instruct is $8.72/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
Llama 3.3 70B Instruct -> Gemini 2.5 Pro Preview 06-05
  • No overlapping tracked provider route is sourced for Llama 3.3 70B Instruct and Gemini 2.5 Pro Preview 06-05; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Pro Preview 06-05 is $8.72/1M 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
Parameters70
Architecturedecoder only-
LicenseUnknownOpen Source
Knowledge cutoff-2023-12

Pricing and availability

Pricing attributeGemini 2.5 Pro Preview 06-05Llama 3.3 70B Instruct
Input price$1.25/1M tokens$0.96/1M tokens
Output price$10/1M tokens$1.28/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 Pro Preview 06-05Llama 3.3 70B Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionYesNo

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 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, while Llama 3.3 70B Instruct lists $0.96/1M input and $1.28/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B Instruct lower by about $2.82 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 3.3 70B Instruct when provider fit 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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Gemini 2.5 Pro Preview 06-05 or Llama 3.3 70B Instruct?

Gemini 2.5 Pro Preview 06-05 supports 1M tokens, while Llama 3.3 70B 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 3.3 70B Instruct?

Llama 3.3 70B 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 3.3 70B Instruct costs $0.96/1M input and $1.28/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Pro Preview 06-05 or Llama 3.3 70B Instruct open source?

Gemini 2.5 Pro Preview 06-05 is listed under Unknown. Llama 3.3 70B Instruct is listed under Open Source. 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 structured outputs, Gemini 2.5 Pro Preview 06-05 or Llama 3.3 70B Instruct?

Both Gemini 2.5 Pro Preview 06-05 and Llama 3.3 70B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for code execution, Gemini 2.5 Pro Preview 06-05 or Llama 3.3 70B Instruct?

Gemini 2.5 Pro Preview 06-05 has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemini 2.5 Pro Preview 06-05 and Llama 3.3 70B Instruct?

Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. Llama 3.3 70B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.