Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10bThe Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
Standard pricing
Run this model at its standard rate. Cheap mode currently has no separate discount.
API routing ceilings, including your 5% Free-plan fee. Included usage applies first, then prepaid credits. Cached tokens and tools can have separate charges.
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Provider price + a transparent platform fee
| Rate | Provider baseline | Free plan · 5% fee | Paid plan · 4% fee |
|---|---|---|---|
| Input / 1M tokens | $0.26 | $0.273 | $0.2704 |
| Output / 1M tokens | $2.08 | $2.184 | $2.1632 |
| API input / 1M tokens | $0.26 | $0.273 | $0.2704 |
| API output / 1M tokens | $2.08 | $2.184 | $2.1632 |
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
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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 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
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 0.6, 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
- $0.26 / 1M
- Output
- $2.08 / 1M
Examples before the platform fee
- Typical chat turn
- $0.0016 2k in · 500 out
- $1 of input
- ≈ 3.85M tokens
- $1 of output
- ≈ 481k tokens
- Full context, once
- $0.0682
Providers and pricing
2 ways to run Qwen3.5-122B-A10B 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 |
|---|---|---|---|---|---|
| SiliconFlow · fp8Lowest price | OpenRouter | $0.26 | $2.08 | 262k | 96.2% |
| AlibabaLowest price | OpenRouter | $0.26 | $2.08 | 262k | 100% |
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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