Qwen3.5-35B-A3B
qwen/qwen3.5-35b-a3bThe Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency.
Cheap mode · 25–53.6% off ↓Cheap mode · 25–53.6% off
Fast mode prioritizes response speed. Cheap mode uses lower-cost capacity and may be a little slower. Both run Qwen3.5-35B-A3B.
Per 1M tokens, including your 5% fee. Your selection carries into the playground and API example.
| Per 1 million tokens | Fast mode | Cheap mode | You save |
|---|---|---|---|
| Input | $0.147 | $0.0683 | 53.6% |
| Output | $1.05 | $0.7875 | 25.0% |
All displayed prices include the 5% Free-plan fee. Standard rates are OpenRouter’s published routing ceilings; the actual standard bill may be lower. Cheapest quote: Darkbloom. Savings compare uncached token rates; other provider charges and your usage mix can change the total. Availability is not guaranteed.
Quote checked 11/8/2026, 8:18:04 PM UTC.
Choose how to use Qwen3.5-35B-A3B
Playground
Try prompts in your browser, create an agent, and see the cost of each reply. Your selected model carries into setup.
Model capabilities below describe the underlying model. Available playground features depend on its provider.
API
Connect your app with a Gizmo API key. Choose fastest or cheapest, stream text responses, and inspect timing, tokens, and charges in request logs.
A current API route is listed for this exact model. Gateway configuration is required for live calls.
Provider price + a transparent platform fee
| Rate | Provider baseline | Free plan · 5% fee | Paid plan · 4% fee |
|---|---|---|---|
| Input / 1M tokens | $0.14 | $0.147 | $0.1456 |
| Output / 1M tokens | $1 | $1.05 | $1.04 |
| API input / 1M tokens | $0.14 | $0.147 | $0.1456 |
| API output / 1M tokens | $1 | $1.05 | $1.04 |
Legacy chat image rates use the catalog baseline. The dedicated image playground shows separate estimates and settles the provider’s metered usage. API rates are current routing ceilings; final API charges use provider-reported cost plus your fee. Cheapest routing compares eligible OpenRouter and Cheaper Inference rates for the same model; savings are not guaranteed. Cached input or other provider charges may differ. Compare all model rates and verified discounts →
How your plan pays for usage
API and playground share one included allowance. Usage including the fee draws from that allowance first, then your prepaid credits. Plans bill monthly; included usage resets weekly: Free $1, Starter $5, Growth $25, Scale $50.
A $1 provider charge becomes $1.05 on Free or $1.04 on a paid plan before included usage is applied. Plan eligibility still applies in the playground.
Free models and limits
Zero-cost models stay $0, including the fee, and do not consume your dollar allowance. Free accounts can make 1,000 free-model API requests per calendar month, resetting in UTC. Admitted requests count even if the provider fails.
Free includes 20 API requests/minute and 6 playground messages/minute. Paid plans raise these limits. See plan limits.
Before a text API request, Gizmo temporarily reserves included usage and, if necessary, prepaid credit for the model’s full context plus your maximum output. Image jobs reserve twice their displayed estimate. Unused funds return after metering. This hold can exceed the final charge; unconfirmed usage remains marked pending.
Overview
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.
Benchmarks
Artificial Analysis indices independent, 0–100
Language from the model card
| GPT-5-mini 2025-08-07 | GPT-OSS-120B | Qwen3-235B-A22B | Qwen3.5-122B-A10B | Qwen3.5-27B | Qwen3.5-35B-A3B | |
|---|---|---|---|---|---|---|
| Knowledge | ||||||
| MMLU-Pro | 83.7 | 80.8 | 84.4 | 86.7 | 86.1 | 85.3 |
| MMLU-Redux | 93.7 | 91.0 | 93.8 | 94.0 | 93.2 | 93.3 |
| C-Eval | 82.2 | 76.2 | 92.1 | 91.9 | 90.5 | 90.2 |
| SuperGPQA | 58.6 | 54.6 | 64.9 | 67.1 | 65.6 | 63.4 |
| Instruction Following | ||||||
| IFEval | 93.9 | 88.9 | 87.8 | 93.4 | 95.0 | 91.9 |
| IFBench | 75.4 | 69.0 | 51.7 | 76.1 | 76.5 | 70.2 |
| MultiChallenge | 59.0 | 45.3 | 50.2 | 61.5 | 60.8 | 60.0 |
| Long Context | ||||||
| AA-LCR | 68.0 | 50.7 | 60.0 | 66.9 | 66.1 | 58.5 |
| LongBench v2 | 56.8 | 48.2 | 54.8 | 60.2 | 60.6 | 59.0 |
| STEM & Reasoning | ||||||
| HLE w/ CoT | 19.4 | 14.9 | 18.2 | 25.3 | 24.3 | 22.4 |
| GPQA Diamond | 82.8 | 80.1 | 81.1 | 86.6 | 85.5 | 84.2 |
| HMMT Feb 25 | 89.2 | 90.0 | 85.1 | 91.4 | 92.0 | 89.0 |
| HMMT Nov 25 | 84.2 | 90.0 | 89.5 | 90.3 | 89.8 | 89.2 |
| Coding | ||||||
| SWE-bench Verified | 72.0 | 62.0 | -- | 72.0 | 72.4 | 69.2 |
| Terminal Bench 2 | 31.9 | 18.7 | -- | 49.4 | 41.6 | 40.5 |
| LiveCodeBench v6 | 80.5 | 82.7 | 75.1 | 78.9 | 80.7 | 74.6 |
| CodeForces | 2160 | 2157 | 2146 | 2100 | 1899 | 2028 |
| OJBench | 40.4 | 41.5 | 32.7 | 39.5 | 40.1 | 36.0 |
| FullStackBench en | 30.6 | 58.9 | 61.1 | 62.6 | 60.1 | 58.1 |
Vision Language from the model card
| GPT-5-mini 2025-08-07 | Claude-Sonnet-4.5 | Qwen3-VL-235B-A22B | Qwen3.5-122B-A10B | Qwen3.5-27B | Qwen3.5-35B-A3B | |
|---|---|---|---|---|---|---|
| STEM and Puzzle | ||||||
| MMMU | 79.0 | 79.6 | 80.6 | 83.9 | 82.3 | 81.4 |
| MMMU-Pro | 67.3 | 68.4 | 69.3 | 76.9 | 75.0 | 75.1 |
| MathVision | 71.9 | 71.1 | 74.6 | 86.2 | 86.0 | 83.9 |
| Mathvista(mini) | 79.1 | 79.8 | 85.8 | 87.4 | 87.8 | 86.2 |
| DynaMath | 81.4 | 78.8 | 82.8 | 85.9 | 87.7 | 85.0 |
| ZEROBench | 3 | 4 | 4 | 9 | 10 | 8 |
| ZEROBench_sub | 27.3 | 26.3 | 28.4 | 36.2 | 36.2 | 34.1 |
| VlmsAreBlind | 75.8 | 85.5 | 79.5 | 96.7 | 96.9 | 97.0 |
| BabyVision | 20.9 | 18.6 | 22.2 | 40.2 / 34.5 | 44.6 / 34.8 | 38.4 / 29.6 |
| General VQA | ||||||
| RealWorldQA | 79.0 | 70.3 | 81.3 | 85.1 | 83.7 | 84.1 |
| MMStar | 74.1 | 73.8 | 78.7 | 82.9 | 81.0 | 81.9 |
| MMBenchEN-DEV-v1.1 | 86.8 | 88.3 | 89.7 | 92.8 | 92.6 | 91.5 |
| SimpleVQA | 56.8 | 57.6 | 61.3 | 61.7 | 56.0 | 58.3 |
| HallusionBench | 63.2 | 59.9 | 66.7 | 67.6 | 70.0 | 67.9 |
| Text Recognition and Document Understanding | ||||||
| OmniDocBench1.5 | 77.0 | 85.8 | 84.5 | 89.8 | 88.9 | 89.3 |
| CharXiv(RQ) | 68.6 | 67.2 | 66.1 | 77.2 | 79.5 | 77.5 |
| MMLongBench-Doc | 50.3 | -- | 56.2 | 59.0 | 60.2 | 59.5 |
| CC-OCR | 70.8 | 68.1 | 81.5 | 81.8 | 81.0 | 80.7 |
| AI2D_TEST | 88.2 | 87.0 | 89.2 | 93.3 | 92.9 | 92.6 |
| OCRBench | 82.1 | 76.6 | 87.5 | 92.1 | 89.4 | 91.0 |
| Spatial Intelligence | ||||||
Capabilities
Reasoning is available.
Sampling controls: temperature, top_p, top_k, min_p, max_tokens, frequency_penalty, presence_penalty, repetition_penalty. Defaults: top_k 20, top_p 0.95, temperature 1, presence_penalty null, frequency_penalty null, repetition_penalty null.
Pricing on Gizmo
These are provider baseline rates before Gizmo’s 5% Free-plan or 4% paid-plan fee. Your included usage covers charges first; overage uses prepaid credits. See the fee-inclusive comparison above.
Provider baseline rates
- Input
- $0.14 / 1M
- Cached input
- $0.156 / 1M
- Output
- $1 / 1M
Examples before the platform fee
- Typical chat turn
- $0.00078 2k in · 500 out
- $1 of input
- ≈ 7.14M tokens
- $1 of output
- ≈ 1M tokens
- Full context, once
- $0.0367
Providers and pricing
2 ways to run Qwen3.5-35B-A3B on Gizmo, cheapest first. Requests follow your routing choice and fall back down this list if a provider fails.
| Provider | Route | Input / 1M | Output / 1M | Context | Uptime 24h |
|---|---|---|---|---|---|
| Darkbloom · fp4Lowest price | OpenRouter | $0.065 | $0.75 | 262k | 100% |
| DeepInfra · fp8 | OpenRouter | $0.14 | $1.00 | 262k | 98.9% |
Rates are each provider’s, per million tokens, before Gizmo’s 5% (Free) or 4% (paid) fee. “Cheapest” routing starts at the top of this list; “Fastest” starts with the model’s maker.
More from Qwen
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