Gemma 2 9B vs Together AI Qwen2-72B-Instruct
Gemma 2 9B (2024) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemma 2 9B ships a 8K-token context window, while Together AI Qwen2-72B-Instruct ships a 33K-token context window. On pricing, Gemma 2 9B costs $0.06/1M input tokens versus $0.7/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemma 2 9B is ~1067% cheaper at $0.06/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemma 2 9B | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Decision fit | Coding, Classification, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 8K | 33K |
| Cheapest output | $0.18/1M tokens | $0.7/1M tokens |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 2 9B has the lower cheapest tracked output price at $0.18/1M tokens.
- Gemma 2 9B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Gemma 2 9B for Coding, Classification, and JSON / Tool use.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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 prices on this page.
Gemma 2 9B
$93.00
Cheapest tracked route: GCP Vertex AI
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route: Together AI
Estimated monthly gap: $642. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 2 9B and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct is $0.52/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Gemma 2 9B; plan for SDK, billing, or endpoint changes.
- Gemma 2 9B is $0.52/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-27 | 2024-06-07 |
| Context window | 8K | 33K |
| Parameters | 9B | 72B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 2 9B | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $0.06/1M tokens | $0.7/1M tokens |
| Output price | $0.18/1M tokens | $0.7/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 2 9B | 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 |
Benchmarks
No shared benchmark rows are currently sourced 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, Gemma 2 9B lists $0.06/1M input and $0.18/1M output tokens, while Together AI Qwen2-72B-Instruct lists $0.7/1M input and $0.7/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 2 9B lower by about $0.6 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Gemma 2 9B when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Together AI Qwen2-72B-Instruct when long-context analysis and larger context windows 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, Gemma 2 9B or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct supports 33K tokens, while Gemma 2 9B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemma 2 9B or Together AI Qwen2-72B-Instruct?
Gemma 2 9B is cheaper on tracked token pricing. Gemma 2 9B costs $0.06/1M input and $0.18/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.7/1M input and $0.7/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 2 9B or Together AI Qwen2-72B-Instruct open source?
Gemma 2 9B is listed under Open Source. Together AI Qwen2-72B-Instruct is listed under Open Source. 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, Gemma 2 9B or Together AI Qwen2-72B-Instruct?
Both Gemma 2 9B 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 Gemma 2 9B and Together AI Qwen2-72B-Instruct?
Gemma 2 9B is available on GCP Vertex AI, Fireworks AI, and Bitdeer AI. 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 Gemma 2 9B over Together AI Qwen2-72B-Instruct?
Gemma 2 9B is ~1067% cheaper at $0.06/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis. If your workload also depends on provider fit, start with Gemma 2 9B; if it depends on long-context analysis, run the same evaluation with Together AI Qwen2-72B-Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.