Gemini 2.5 Pro Computer Use Preview vs Llama 4 Maverick 17B Instruct FP8
Gemini 2.5 Pro Computer Use Preview (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 2.5 Pro Computer Use Preview ships a 1.05m-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-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.
Llama 4 Maverick 17B Instruct FP8 is ~733% cheaper at $0.15/1M; pay for Gemini 2.5 Pro Computer Use Preview only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro Computer Use Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1.05m | 1m |
| Cheapest output | $10/1M tokens | $0.60/1M tokens |
| Provider routes | 2 tracked | 10 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 2.5 Pro Computer Use Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro Computer Use Preview uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Gemini 2.5 Pro Computer Use Preview for RAG, Agents, and Long context.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Pro Computer Use Preview
$3,500
Cheapest tracked route/tier: Google AI Studio
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $3,230. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $9.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Gemini 2.5 Pro Computer Use Preview is $9.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro Computer Use Preview adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-04-05 |
| Context window | 1.05m | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2024-08 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro Computer Use Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $1.25/1M tokens | $0.15/1M tokens |
| Output price | $10/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro Computer Use Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on function calling: Gemini 2.5 Pro Computer Use Preview and tool use: Gemini 2.5 Pro Computer Use Preview. 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 Computer Use Preview lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $3.59 per million blended tokens. Availability is 2 providers versus 10, so concentration risk also matters.
Choose Gemini 2.5 Pro Computer Use Preview when long-context analysis and larger context windows are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when vision-heavy evaluation, lower input-token cost, and broader provider choice 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 Computer Use Preview or Llama 4 Maverick 17B Instruct FP8?
Gemini 2.5 Pro Computer Use Preview supports 1.05m tokens, while Llama 4 Maverick 17B Instruct FP8 supports 1m 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 Computer Use Preview or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Gemini 2.5 Pro Computer Use Preview costs $1.25/1M input and $10/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro Computer Use Preview or Llama 4 Maverick 17B Instruct FP8 open source?
Gemini 2.5 Pro Computer Use Preview is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 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 Computer Use Preview or Llama 4 Maverick 17B Instruct FP8?
Both Gemini 2.5 Pro Computer Use Preview and Llama 4 Maverick 17B Instruct FP8 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 Computer Use Preview or Llama 4 Maverick 17B Instruct FP8?
Both Gemini 2.5 Pro Computer Use Preview and Llama 4 Maverick 17B Instruct FP8 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 Computer Use Preview and Llama 4 Maverick 17B Instruct FP8?
Gemini 2.5 Pro Computer Use Preview is available on Google AI Studio and GCP Vertex AI. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. 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.