Gemini 2.5 Pro vs Llama Guard 3 1B
Gemini 2.5 Pro (2025) and Llama Guard 3 1B (2024) are frontier reasoning models from Google DeepMind and AI at Meta. Gemini 2.5 Pro ships a 1m-token context window, while Llama Guard 3 1B ships a 128k-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 fits 8x more tokens; pick it for long-context work and Llama Guard 3 1B for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Llama Guard 3 1B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Long context and Classification |
| Context window | 1m | 128k |
| Cheapest output | $10/1M tokens | $0.10/1M tokens |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Llama Guard 3 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Llama Guard 3 1B for Long context and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $3,395. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 2.5 Pro and Llama Guard 3 1B; plan for SDK, billing, or endpoint changes.
- Llama Guard 3 1B is $9.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Llama Guard 3 1B and Gemini 2.5 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 2.5 Pro is $9.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2024-09-25 |
| Context window | 1m | 128k |
| Parameters | — | 1B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Llama 2 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2025-01 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Llama Guard 3 1B |
|---|---|---|
| Input price |
| $0.10/1M tokens |
| Output price |
| $0.10/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | Llama Guard 3 1B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 2.5 Pro, multimodal input: Gemini 2.5 Pro, reasoning mode: Gemini 2.5 Pro, function calling: Gemini 2.5 Pro, tool use: Gemini 2.5 Pro, structured outputs: Gemini 2.5 Pro, and code execution: Gemini 2.5 Pro. 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.
For cost, Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output, while Llama Guard 3 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $3.77 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama Guard 3 1B 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.
FAQ
Which has a larger context window, Gemini 2.5 Pro or Llama Guard 3 1B?
Gemini 2.5 Pro supports 1m tokens, while Llama Guard 3 1B 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 or Llama Guard 3 1B?
Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output. Llama Guard 3 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro or Llama Guard 3 1B open source?
Gemini 2.5 Pro is listed under Proprietary. Llama Guard 3 1B is listed under Llama 2 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 or Llama Guard 3 1B?
Gemini 2.5 Pro 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 or Llama Guard 3 1B?
Gemini 2.5 Pro 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.
Where can I run Gemini 2.5 Pro and Llama Guard 3 1B?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-05. Data sourced from public model cards and provider documentation.