Gemma 2 27B vs Qwen3.5-9B
Gemma 2 27B (2024) and Qwen3.5-9B (2026) are compact production models from Google DeepMind and Alibaba. Gemma 2 27B ships a 8k-token context window, while Qwen3.5-9B ships a 262k-token context window. On MMLU PRO, Qwen3.5-9B leads by 26.0 pts. On pricing, Gemma 2 27B costs $0.08/1M input tokens versus $0.10/1M 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.
Qwen3.5-9B fits 33x more tokens; pick it for long-context work and Gemma 2 27B for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 2 27B | Qwen3.5-9B |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8k | 262k |
| Cheapest output | $0.24/1M tokens | $0.15/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 2 shared | MMLU PRO leader |
Decision tradeoffs
- Local decision data tags Gemma 2 27B for Coding, Classification, and JSON / Tool use.
- Qwen3.5-9B holds a shared-benchmark lead on MMLU PRO, ahead by 26.0 points.
- Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-9B uniquely exposes Vision, Multimodal, and Function calling in local model data.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 2 27B
$124
Cheapest tracked route/tier: Bitdeer AI
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $6.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 2 27B and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-9B is $0.09/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-9B adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-9B and Gemma 2 27B; plan for SDK, billing, or endpoint changes.
- Gemma 2 27B is $0.09/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-27 | 2026-03-02 |
| Context window | 8k | 262k |
| Parameters | 27B | 9B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 2 27B | Qwen3.5-9B |
|---|---|---|
| Input price | $0.08/1M tokens | $0.10/1M tokens |
| Output price | $0.24/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 2 27B | Qwen3.5-9B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemma 2 27B | Qwen3.5-9B |
|---|---|---|
| MMLU PRO | 56.5 | 82.5 |
| Google-Proof Q&A | 56.7 | 81.7 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemma 2 27B at 56.5 and Qwen3.5-9B at 82.5, with Qwen3.5-9B ahead by 26.0 points; Google-Proof Q&A has Gemma 2 27B at 56.7 and Qwen3.5-9B at 81.7, with Qwen3.5-9B ahead by 25 points. The largest visible gap is 26.0 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Qwen3.5-9B, multimodal input: Qwen3.5-9B, function calling: Qwen3.5-9B, and tool use: Qwen3.5-9B. 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, Gemma 2 27B lists $0.08/1M input and $0.24/1M output tokens on the cheapest tracked provider, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $0.01 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.
Choose Gemma 2 27B when provider fit and lower input-token cost are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, 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, Gemma 2 27B or Qwen3.5-9B?
Qwen3.5-9B supports 262k tokens, while Gemma 2 27B 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 27B or Qwen3.5-9B?
Qwen3.5-9B is cheaper on tracked token pricing. Gemma 2 27B costs $0.08/1M input and $0.24/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 2 27B or Qwen3.5-9B open source?
Gemma 2 27B is listed under Gemma. Qwen3.5-9B 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, Gemma 2 27B or Qwen3.5-9B?
Qwen3.5-9B 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemma 2 27B or Qwen3.5-9B?
Qwen3.5-9B 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.
Where can I run Gemma 2 27B and Qwen3.5-9B?
Gemma 2 27B is available on GCP Vertex AI and Bitdeer AI. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. 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.