GPT-5.2 vs Qwen3.5-122B-A10B
GPT-5.2 (2025) and Qwen3.5-122B-A10B (2026) are frontier-tier reasoning models from OpenAI and Alibaba. GPT-5.2 ships a 400k-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On SWE-bench Verified, GPT-5.2 leads by 8 pts. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $1.75/1M 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 ~573% cheaper at $0.26/1M; pay for GPT-5.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-5.2 | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 262k |
| Cheapest output | $14/1M tokens | $2.08/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | SWE-bench Verified leader | 3 rows |
Decision tradeoffs
- GPT-5.2 holds a shared-benchmark lead on SWE-bench Verified, ahead by 8 points.
- GPT-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.2 uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.2 for Coding, RAG, and Agents.
- Qwen3.5-122B-A10B holds a shared-benchmark lead on τ-bench, ahead by 4.4 points.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- 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.
GPT-5.2
$4,900
Cheapest tracked route/tier: Replicate API
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $4,172. 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 $11.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.2 is $11.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2026-02-24 |
| Context window | 400k | 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 | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.2 | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $1.75/1M tokens | $0.26/1M tokens |
| Output price | $14/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.2 | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | 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 | GPT-5.2 | Qwen3.5-122B-A10B |
|---|---|---|
| SWE-bench Verified | 80.0 | 72.0 |
| τ-bench | 75.1 | 79.5 |
| MMMU Pro | 79.5 | 76.9 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has GPT-5.2 at 80 and Qwen3.5-122B-A10B at 72, with GPT-5.2 ahead by 8 points; τ-bench has GPT-5.2 at 75.1 and Qwen3.5-122B-A10B at 79.5, with Qwen3.5-122B-A10B ahead by 4.4 points; MMMU Pro has GPT-5.2 at 79.5 and Qwen3.5-122B-A10B at 76.9, with GPT-5.2 ahead by 2.6 points. The largest visible gap is 8 points on SWE-bench Verified, 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 code execution: GPT-5.2. Both models share vision, multimodal input, reasoning mode, and function calling, 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, GPT-5.2 lists $1.75/1M input and $14/1M 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 $4.62 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose GPT-5.2 when coding workflow support and larger context windows are central to the workload. Choose Qwen3.5-122B-A10B when vision-heavy evaluation 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, GPT-5.2 or Qwen3.5-122B-A10B?
GPT-5.2 supports 400k 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GPT-5.2 or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B is cheaper on tracked token pricing. GPT-5.2 costs $1.75/1M input and $14/1M 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 GPT-5.2 or Qwen3.5-122B-A10B open source?
GPT-5.2 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, GPT-5.2 or Qwen3.5-122B-A10B?
Both GPT-5.2 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, GPT-5.2 or Qwen3.5-122B-A10B?
Both GPT-5.2 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 GPT-5.2 and Qwen3.5-122B-A10B?
GPT-5.2 is available on 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.