Qwen3.5-122B-A10B vs Qwen3.5 397B A17B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
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.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.260
- Output, $ per 1M tokens
- ▲$2.08
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲02/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.5-122b-a10b
The Qwen3.5 series 397B-A17B 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.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- $0.550
- Output, $ per 1M tokens
- $3.50
- Cache read, $ per 1M
- $0.225
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/16/2026
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3.5-397b-a17b
Which is the better API choice: Qwen3.5-122B-A10B vs Qwen3.5 397B A17B?
- Qwen3.5-122B-A10B: cheapest input (53% less than Qwen3.5 397B A17B)
- Qwen3.5-122B-A10B: cheapest output
- Qwen3.5-122B-A10B: the newest (02/23/2026)
Qwen3.5-122B-A10B costs 53% less on input and 41% less on output than Qwen3.5 397B A17B ($0.260 / $2.08 versus $0.550 / $3.50 per million tokens). All accept 262 K tokens of context.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.5-122B-A10B you save $10.03 a month versus Qwen3.5 397B A17B (45% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Qwen3.5-122B-A10B Qwen$0.020
- 2Qwen3.5 397B A17B Qwen$0.042
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs DeepSeek V4.1 Flash
- Claude Sonnet 5.5 vs Grok 4.7
- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Qwen3.5-122B-A10B vs Qwen3.5 397B A17B?
Qwen3.5-122B-A10B costs 53% less on input and 41% less on output than Qwen3.5 397B A17B ($0.260 / $2.08 versus $0.550 / $3.50 per million tokens). All accept 262 K tokens of context.
Which is cheaper: Qwen3.5-122B-A10B and Qwen3.5 397B A17B?
Qwen3.5-122B-A10B is cheaper: $0.260 per million input tokens and $2.08 per million output tokens, versus $0.550 / $3.50 for Qwen3.5 397B A17B.
Which has more context: Qwen3.5-122B-A10B and Qwen3.5 397B A17B?
Qwen3.5-122B-A10B and Qwen3.5 397B A17B accept the same context: 262 K tokens.
Which is newer: Qwen3.5-122B-A10B and Qwen3.5 397B A17B?
Qwen3.5-122B-A10B was released on 02/23/2026; Qwen3.5 397B A17B on 02/16/2026.
What would 10,000 requests a month cost with Qwen3.5-122B-A10B and Qwen3.5 397B A17B?
With 1,500 input and 400 output tokens per request: Qwen3.5-122B-A10B: $12.22; Qwen3.5 397B A17B: $22.25 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.