Gemini 2.5 Pro vs Qwen3-Next-80B-A3B
Gemini 2.5 Pro (2025) and Qwen3-Next-80B-A3B (2025) are frontier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3-Next-80B-A3B ships a not-yet-sourced context window. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Qwen3-Next-80B-A3B costs $0.10/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3-Next-80B-A3B is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Qwen3-Next-80B-A3B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 1m | — |
| Cheapest output | $10/1M tokens | $0.78/1M tokens |
| Provider routes | 4 tracked | 4 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 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Qwen3-Next-80B-A3B has the lower cheapest tracked output price at $0.78/1M tokens.
- Local decision data tags Qwen3-Next-80B-A3B for Classification and JSON / Tool use.
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
Qwen3-Next-80B-A3B
$273
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $3,227. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3-Next-80B-A3B is $9.22/1M 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.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemini 2.5 Pro is $9.22/1M 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 | 2025-12-01 |
| Context window | 1m | — |
| Parameters | — | 80B (3B active) |
| Architecture | decoder only | - |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Qwen3-Next-80B-A3B |
|---|---|---|
| Input price |
| $0.10/1M tokens |
| Output price |
| $0.78/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | Qwen3-Next-80B-A3B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| 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, and code execution: Gemini 2.5 Pro. 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 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 Qwen3-Next-80B-A3B lists $0.10/1M input and $0.78/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-Next-80B-A3B lower by about $3.57 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 4, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support are central to the workload. Choose Qwen3-Next-80B-A3B 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 is cheaper, Gemini 2.5 Pro or Qwen3-Next-80B-A3B?
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. Qwen3-Next-80B-A3B lists $0.10/1M input and $0.78/1M 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 Qwen3-Next-80B-A3B open source?
Gemini 2.5 Pro is listed under Proprietary. Qwen3-Next-80B-A3B is listed under Apache 2.0. 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 Qwen3-Next-80B-A3B?
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 Qwen3-Next-80B-A3B?
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.
Which is better for reasoning mode, Gemini 2.5 Pro or Qwen3-Next-80B-A3B?
Gemini 2.5 Pro has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Qwen3-Next-80B-A3B?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Qwen3-Next-80B-A3B is available on AWS Bedrock, OpenRouter, Venice AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-05. Data sourced from public model cards and provider documentation.