LLM Reference

Gemini 2.5 Pro Preview 06-05 vs Llama 3 Taiwan 70B Instruct

Gemini 2.5 Pro Preview 06-05 (2025) and Llama 3 Taiwan 70B Instruct (2024) 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 Taiwan 70B Instruct ships a 8k-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.

Gemini 2.5 Pro Preview 06-05 fits 125x more tokens; pick it for long-context work and Llama 3 Taiwan 70B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 2.5 Pro Preview 06-05Llama 3 Taiwan 70B Instruct
Best formultimodal apps and long-context analysisgeneral production evaluation
Decision fitCoding, RAG, and AgentsGeneral
Context window1m8k
Cheapest output$10/1M 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 Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Gemini 2.5 Pro Preview 06-05 for Coding, RAG, and Agents.
Choose Llama 3 Taiwan 70B Instruct when...
  • Use Llama 3 Taiwan 70B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

Gemini 2.5 Pro Preview 06-05

$3,500

Cheapest tracked route/tier: OpenRouter

Llama 3 Taiwan 70B Instruct

Unavailable

No complete token price in local provider data

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

Switch friction

Gemini 2.5 Pro Preview 06-05 -> Llama 3 Taiwan 70B Instruct
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro Preview 06-05 and Llama 3 Taiwan 70B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Llama 3 Taiwan 70B Instruct -> Gemini 2.5 Pro Preview 06-05
  • No overlapping tracked provider route is sourced for Llama 3 Taiwan 70B Instruct and Gemini 2.5 Pro Preview 06-05; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Pro Preview 06-05 adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2025-03-252024-07-01
Context window1m8k
Parameters70B
Architecturedecoder onlydecoder 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 Taiwan 70B Instruct
Input price$1.25/1M tokens-
Output price$10/1M tokens-
Providers

Capabilities

CapabilityGemini 2.5 Pro Preview 06-05Llama 3 Taiwan 70B Instruct
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
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 vision: Gemini 2.5 Pro Preview 06-05, multimodal input: Gemini 2.5 Pro Preview 06-05, structured outputs: Gemini 2.5 Pro Preview 06-05, and code execution: Gemini 2.5 Pro Preview 06-05. Both models share the core language-model surface, 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: Gemini 2.5 Pro Preview 06-05 has $1.25/1M input tokens and Llama 3 Taiwan 70B Instruct has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemini 2.5 Pro Preview 06-05 when coding workflow support and larger context windows are central to the workload. Choose Llama 3 Taiwan 70B Instruct when provider fit 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 Taiwan 70B Instruct?

Gemini 2.5 Pro Preview 06-05 supports 1m tokens, while Llama 3 Taiwan 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemini 2.5 Pro Preview 06-05 or Llama 3 Taiwan 70B Instruct open source?

Gemini 2.5 Pro Preview 06-05 is listed under Proprietary. Llama 3 Taiwan 70B 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 Taiwan 70B Instruct?

Gemini 2.5 Pro Preview 06-05 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, Gemini 2.5 Pro Preview 06-05 or Llama 3 Taiwan 70B Instruct?

Gemini 2.5 Pro Preview 06-05 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 structured outputs, Gemini 2.5 Pro Preview 06-05 or Llama 3 Taiwan 70B Instruct?

Gemini 2.5 Pro Preview 06-05 has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Taiwan 70B Instruct?

Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. Llama 3 Taiwan 70B Instruct is available on NVIDIA NIM. 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.