Gemini 2.5 Pro Preview 05-06 vs Llama 3.2 90B Instruct
Gemini 2.5 Pro Preview 05-06 (2025) and Llama 3.2 90B Instruct (2025) are compact production models from Google DeepMind and AI at Meta. Gemini 2.5 Pro Preview 05-06 ships a 1m-token context window, while Llama 3.2 90B Instruct 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 Preview 05-06 fits 8x more tokens; pick it for long-context work and Llama 3.2 90B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro Preview 05-06 | Llama 3.2 90B Instruct |
|---|---|---|
| Best for | multimodal apps and long-context analysis | multimodal apps |
| Decision fit | RAG, Long context, and Vision | RAG, Long context, and Vision |
| Context window | 1m | 128k |
| Cheapest output | $10/1M tokens | $1.80/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 2.5 Pro Preview 05-06 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Gemini 2.5 Pro Preview 05-06 for RAG, Long context, and Vision.
- Llama 3.2 90B Instruct has the lower cheapest tracked output price at $1.80/1M tokens.
- Local decision data tags Llama 3.2 90B 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.
Gemini 2.5 Pro Preview 05-06
$3,500
Cheapest tracked route/tier: OpenRouter
Llama 3.2 90B Instruct
$1,530
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $1,970. 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 Preview 05-06 and Llama 3.2 90B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.2 90B Instruct is $8.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Llama 3.2 90B Instruct and Gemini 2.5 Pro Preview 05-06; plan for SDK, billing, or endpoint changes.
- Gemini 2.5 Pro Preview 05-06 is $8.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-06 | 2025-09-01 |
| Context window | 1m | 128k |
| Parameters | — | 90B |
| Architecture | decoder only | - |
| License | Proprietary | Llama 3 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 Preview 05-06 | Llama 3.2 90B Instruct |
|---|---|---|
| Input price | $1.25/1M tokens | $1.35/1M tokens |
| Output price | $10/1M tokens | $1.80/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro Preview 05-06 | Llama 3.2 90B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | 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 rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover vision, multimodal input, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Gemini 2.5 Pro Preview 05-06 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while Llama 3.2 90B Instruct lists $1.35/1M input and $1.80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 90B Instruct lower by about $2.39 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Gemini 2.5 Pro Preview 05-06 when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3.2 90B Instruct when vision-heavy evaluation 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 05-06 or Llama 3.2 90B Instruct?
Gemini 2.5 Pro Preview 05-06 supports 1m tokens, while Llama 3.2 90B 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 05-06 or Llama 3.2 90B Instruct?
Llama 3.2 90B Instruct is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 05-06 costs $1.25/1M input and $10/1M output tokens. Llama 3.2 90B Instruct costs $1.35/1M input and $1.80/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro Preview 05-06 or Llama 3.2 90B Instruct open source?
Gemini 2.5 Pro Preview 05-06 is listed under Proprietary. Llama 3.2 90B 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 05-06 or Llama 3.2 90B Instruct?
Both Gemini 2.5 Pro Preview 05-06 and Llama 3.2 90B 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 05-06 or Llama 3.2 90B Instruct?
Both Gemini 2.5 Pro Preview 05-06 and Llama 3.2 90B 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 05-06 and Llama 3.2 90B Instruct?
Gemini 2.5 Pro Preview 05-06 is available on OpenRouter. Llama 3.2 90B 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.