Gemini 2.5 Flash vs Qwen3.5-122B-A10B
Gemini 2.5 Flash (2025) and Qwen3.5-122B-A10B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Flash ships a 1m-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On MMLU PRO, Gemini 2.5 Flash leads by 1.7 pts. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $0.30/1M 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.
Qwen3.5-122B-A10B is safer overall; choose Gemini 2.5 Flash when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Flash | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 262k |
| Cheapest output | $2.50/1M tokens | $2.08/1M tokens |
| Provider routes | 5 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 3 rows |
Decision tradeoffs
- Gemini 2.5 Flash holds a shared-benchmark lead on MMLU PRO, ahead by 1.7 points.
- Gemini 2.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Flash has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 2.5 Flash uniquely exposes Code execution in local model data.
- Local decision data tags Gemini 2.5 Flash for Coding, RAG, and Agents.
- Qwen3.5-122B-A10B holds a shared-benchmark lead on Google-Proof Q&A, ahead by 2.9 points.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- Qwen3.5-122B-A10B uniquely exposes Reasoning in local model data.
- Local decision data tags Qwen3.5-122B-A10B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Flash
$865
Cheapest tracked route/tier: Google AI Studio
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $137. 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.
- Qwen3.5-122B-A10B is $0.42/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Qwen3.5-122B-A10B adds Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemini 2.5 Flash is $0.42/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Gemini 2.5 Flash adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2026-02-24 |
| Context window | 1m | 262k |
| Parameters | — | 122B |
| Architecture | decoder only | mixture of experts |
| 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 Flash | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $0.30/1M tokens | $0.26/1M tokens |
| Output price | $2.50/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Qwen3.5-122B-A10B |
|---|---|---|
| MMLU PRO | 88.4 | 86.7 |
| Google-Proof Q&A | 82.8 | 85.7 |
| LiveCodeBench | 76.2 | 78.9 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 2.5 Flash at 88.4 and Qwen3.5-122B-A10B at 86.7, with Gemini 2.5 Flash ahead by 1.7 points; Google-Proof Q&A has Gemini 2.5 Flash at 82.8 and Qwen3.5-122B-A10B at 85.7, with Qwen3.5-122B-A10B ahead by 2.9 points; LiveCodeBench has Gemini 2.5 Flash at 76.2 and Qwen3.5-122B-A10B at 78.9, with Qwen3.5-122B-A10B ahead by 2.7 points. The largest visible gap is 2.9 points on Google-Proof Q&A, 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 reasoning mode: Qwen3.5-122B-A10B and code execution: Gemini 2.5 Flash. Both models share vision, multimodal input, function calling, and tool use, 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 Flash lists $0.30/1M input and $2.50/1M output tokens on the cheapest tracked provider, while Qwen3.5-122B-A10B lists $0.26/1M input and $2.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-122B-A10B lower by about $0.15 per million blended tokens. Availability is 5 providers versus 3, so concentration risk also matters.
Choose Gemini 2.5 Flash when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.5-122B-A10B when reasoning depth 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 has a larger context window, Gemini 2.5 Flash or Qwen3.5-122B-A10B?
Gemini 2.5 Flash supports 1m tokens, while Qwen3.5-122B-A10B supports 262k 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 Flash or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.30/1M input and $2.50/1M output tokens. Qwen3.5-122B-A10B costs $0.26/1M input and $2.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Flash or Qwen3.5-122B-A10B open source?
Gemini 2.5 Flash is listed under Proprietary. Qwen3.5-122B-A10B 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 Flash or Qwen3.5-122B-A10B?
Both Gemini 2.5 Flash and Qwen3.5-122B-A10B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemini 2.5 Flash or Qwen3.5-122B-A10B?
Both Gemini 2.5 Flash and Qwen3.5-122B-A10B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Gemini 2.5 Flash and Qwen3.5-122B-A10B?
Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, OpenRouter, and Vercel AI Gateway. Qwen3.5-122B-A10B is available on OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.