Context
262K
Max output
262K
Serving providers
4
Cheapest input
$0.25 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial Analysis and Hugging Face leaderboardsSpeed & latency
Output speed
131 t/s
tokens / second
Time to first token
2.30s
latency
Headline indices
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 1% | reasoning: false | — | |||||||||||||
| ||||||||||||||||
| EvalComputeProxy | 243.6 | default | — | |||||||||||||
| ||||||||||||||||
| GDPval | 987.7 | default | — | |||||||||||||
| ||||||||||||||||
| GPQA Diamond | 86% | default | — | |||||||||||||
| ||||||||||||||||
| Humanity's Last Exam | 25% | default | — | |||||||||||||
| ||||||||||||||||
| IFBench | 76% | default | — | |||||||||||||
| ||||||||||||||||
| Long-Context Reasoning | 70% | default | — | |||||||||||||
| ||||||||||||||||
| MMMU-Pro | 75% | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience | -41.5 | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience Accuracy | 0.2 | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience Non Hallucination | 0.1 | default | — | |||||||||||||
| ||||||||||||||||
| SciCode | 42% | default | — | |||||||||||||
| ||||||||||||||||
| SWE-bench Verified | 72% | default | — | |||||||||||||
| TerminalBench Hard | 31% | default | — | |||||||||||||
| ||||||||||||||||
| TerminalBench v2.1 | 48% | default | — | |||||||||||||
| ||||||||||||||||
| τ-bench Banking | 15% | default | — | |||||||||||||
| ||||||||||||||||
| τ²-bench | 94% | default | — | |||||||||||||
| ||||||||||||||||
Pricing by serving provider
standard tier · per 1M tokens · click a provider to expandInput pricing runs from $0.25 to $0.40 per 1M tokens across 4 providers, so the dearest route costs 60% more than the cheapest for the same model.
| Serving provider | Input /1M | Output /1M | Endpoints | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LibertaiCheapest | $0.25 | $1.75 | 1 | ||||||||||||||||
| |||||||||||||||||||
| OpenRouter | $0.29 | $2.40 | 1 | ||||||||||||||||
| |||||||||||||||||||
| DeepInfra | $0.29 | $2.40 | 1 | ||||||||||||||||
| |||||||||||||||||||
| Novita | $0.40 | $3.20 | 1 | ||||||||||||||||
| |||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Input down 38% since first tracked
Cost calculator
estimate your monthly spend on this model$190
estimated / month
Model IDs
copy the exact identifier for your platformlibertai/qwen3.5-122b-a10bqwen/qwen3.5-122b-a10bdeepinfra/Qwen/Qwen3.5-122B-A10Bnovita/qwen/qwen3.5-122b-a10b
Frequently asked questions
Qwen3.5-122B-A10B pricing, context and availabilityHow much does Qwen3.5-122B-A10B cost?
Qwen3.5-122B-A10B costs $0.25 per 1M input tokens and $1.75 per 1M output tokens at its cheapest provider via Libertai. Across 4 serving providers, input prices range from $0.25 to $0.40 per 1M tokens.
What is the context window of Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B accepts up to 262K tokens of context and can return up to 262K output tokens.
Which providers serve Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B is available from 4 serving providers, each with its own pricing and model ID. Libertai is currently the cheapest.
What can Qwen3.5-122B-A10B do?
Qwen3.5-122B-A10B supports image input (vision), tool use, reasoning and structured output.
Other Alibaba models
compare pricing across the Alibaba lineupQwen3 32B$0.08/1M · 8 providersQwen3.6 35B A3B$0.10/1M · 7 providersQwQ 32B$0.15/1M · 7 providersQwen3 Next 80B A3B Instruct$0.09/1M · 6 providersQwen3 235B A22b Instruct 2507$0.09/1M · 6 providersQwen3 Next 80B A3B Thinking$0.14/1M · 6 providersQwen3.6 27B$0.15/1M · 6 providersQwen3 30B A3B$0.09/1M · 5 providers
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