API cost decision in 10 seconds

Qwen3.5-35B-A3B vs Qwen3.5-122B-A10B

Pick Qwen3.5-35B-A3B when budget is the priority.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-35B-A3B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.3 for Qwen3.5-122B-A10B, saving $0.66 (50.8% lower).

Cost-first pickQwen3.5-35B-A3B

Context-first pickBoth models

Sample savings$0.6650.8%

10x traffic gap$6.61

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $6.61. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-35B-A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3.5-35B-A3B	Qwen3.5-122B-A10B
Input-heavy / RAG	5M input + 500K output	Qwen3.5-35B-A3B	$1.2	$2.34
Balanced workload	1M input + 1M output	Qwen3.5-35B-A3B	$1.14	$2.34
Output-heavy chatbot	1M input + 5M output	Qwen3.5-35B-A3B	$5.14	$10.66

Cheaper input Qwen3.5-35B-A3B $0.139 vs $0.26 / 1M

Qwen3.5-35B-A3B is $0.12 cheaper per 1M input tokens (46.5% lower; 1.87x difference).

Cheaper output Qwen3.5-35B-A3B $1 vs $2.08 / 1M

Qwen3.5-35B-A3B is $1.08 cheaper per 1M output tokens (51.9% lower; 2.08x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Qwen3.5-35B-A3B $0.64 vs $1.3

Qwen3.5-35B-A3B is $0.66 cheaper on the standard workload (50.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.5-35B-A3B Calculating… Estimated API cost

Qwen3.5-122B-A10B Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3.5-35B-A3B has the lower input price; Qwen3.5-35B-A3B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.5-35B-A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3.5-35B-A3B and $1.3 for Qwen3.5-122B-A10B.

Best Fit

Choose Qwen3.5-35B-A3B when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.5-122B-A10B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.3 for Qwen3.5-122B-A10B, saving $0.66 (50.8% lower).
Qwen3.5-35B-A3B is $0.66 cheaper on the standard workload (50.8% lower).
Qwen3.5-35B-A3B is $0.12 cheaper per 1M input tokens (46.5% lower; 1.87x difference).
Qwen3.5-35B-A3B is $1.08 cheaper per 1M output tokens (51.9% lower; 2.08x difference).
Both models report the same context window at 262.14K tokens.

Head-to-Head Specs

Feature	Qwen3.5-35B-A3B (Qwen)	Qwen3.5-122B-A10B (Qwen)
Input Price prompt tokens per 1M	$0.139	$0.26
Completion Price per 1M tokens	$1	$2.08
Sample Workload Cost 1M input + 500K output	$0.64	$1.3
Context Window	262.14K	262.14K
Release Date	2026-02-25	2026-02-25

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.5-35B-A3B	On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $1.3 for Qwen3.5-122B-A10B, saving $0.66 (50.8% lower).
High-volume input processing	Qwen3.5-35B-A3B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3.5-35B-A3B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

Qwen3.5-35B-A3B

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...

Qwen3.5-122B-A10B

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...