Gemini 1.5 Pro vs Together AI Qwen2-72B-Instruct
Gemini 1.5 Pro (2024) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemini 1.5 Pro ships a 2m-token context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. On pricing, Together AI Qwen2-72B-Instruct costs $0.70/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Together AI Qwen2-72B-Instruct is ~79% cheaper at $0.70/1M; pay for Gemini 1.5 Pro only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemini 1.5 Pro | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Best for | long-context analysis and provider-routed production | general production evaluation |
| Decision fit | RAG, Long context, and Vision | Classification and JSON / Tool use |
| Context window | 2m | 33k |
| Cheapest output | $5/1M tokens | $0.70/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 1.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 1.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Gemini 1.5 Pro for RAG, Long context, and Vision.
- Together AI Qwen2-72B-Instruct has the lower cheapest tracked output price at $0.70/1M tokens.
- Local decision data tags Together AI Qwen2-72B-Instruct 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 1.5 Pro
$2,250
Cheapest tracked route/tier: GCP Vertex AI
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $1,515. 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 1.5 Pro and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct is $4.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Gemini 1.5 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 1.5 Pro is $4.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-15 | 2024-06-07 |
| Context window | 2m | 33k |
| Parameters | — | 72B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-11 | - |
Pricing and availability
| Pricing attribute | Gemini 1.5 Pro | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $1.25/1M tokens | $0.70/1M tokens |
| Output price | $5/1M tokens | $0.70/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 1.5 Pro | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| 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 scores are currently available for this pair.
Deep dive
The capability footprint is close: both models cover 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 1.5 Pro lists $1.25/1M input and $5/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-72B-Instruct lists $0.70/1M input and $0.70/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-72B-Instruct lower by about $1.68 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose Gemini 1.5 Pro when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Together AI Qwen2-72B-Instruct 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. 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 1.5 Pro or Together AI Qwen2-72B-Instruct?
Gemini 1.5 Pro supports 2m tokens, while Together AI Qwen2-72B-Instruct supports 33k 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 1.5 Pro or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct is cheaper on tracked token pricing. Gemini 1.5 Pro costs $1.25/1M input and $5/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.70/1M input and $0.70/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 1.5 Pro or Together AI Qwen2-72B-Instruct open source?
Gemini 1.5 Pro is listed under Proprietary. Together AI Qwen2-72B-Instruct 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 structured outputs, Gemini 1.5 Pro or Together AI Qwen2-72B-Instruct?
Both Gemini 1.5 Pro and Together AI Qwen2-72B-Instruct expose structured outputs. 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 1.5 Pro and Together AI Qwen2-72B-Instruct?
Gemini 1.5 Pro is available on GCP Vertex AI and Google AI Studio. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 1.5 Pro over Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct is ~79% cheaper at $0.70/1M; pay for Gemini 1.5 Pro only for long-context analysis. If your workload also depends on long-context analysis, start with Gemini 1.5 Pro; if it depends on provider fit, run the same evaluation with Together AI Qwen2-72B-Instruct.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.