API cost decision in 10 seconds

Aion-2.0 vs Qwen3 235B A22B

Pick Qwen3 235B A22B when budget is the priority.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 235B A22B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.6 for Aion-2.0, saving $0.24 (14.7% lower).

Cost-first pickQwen3 235B A22B

Context-first pickBoth models

Sample savings$0.2414.7%

10x traffic gap$2.35

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $2.35. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 235B A22B, balanced workload favors Qwen3 235B A22B, and output-heavy chatbot favors Aion-2.0.

Workload shape	Token mix	Better pick	Aion-2.0	Qwen3 235B A22B
Input-heavy / RAG	5M input + 500K output	Qwen3 235B A22B	$4.8	$3.19
Balanced workload	1M input + 1M output	Qwen3 235B A22B	$2.4	$2.27
Output-heavy chatbot	1M input + 5M output	Aion-2.0	$8.8	$9.55

Cheaper input Qwen3 235B A22B $0.8 vs $0.455 / 1M

Qwen3 235B A22B is $0.35 cheaper per 1M input tokens (43.1% lower; 1.76x difference).

Cheaper output Aion-2.0 $1.6 vs $1.82 / 1M

Aion-2.0 is $0.22 cheaper per 1M output tokens (12.1% lower; 1.14x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Qwen3 235B A22B $1.6 vs $1.36

Qwen3 235B A22B is $0.24 cheaper on the standard workload (14.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Aion-2.0 Calculating… Estimated API cost

Qwen3 235B A22B 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 235B A22B has the lower input price; Aion-2.0 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3 235B A22B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.6 for Aion-2.0 and $1.36 for Qwen3 235B A22B.

Best Fit

Choose Aion-2.0 when you care most about lower output-token price.

Choose Qwen3 235B A22B when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.6 for Aion-2.0, saving $0.24 (14.7% lower).
Qwen3 235B A22B is $0.24 cheaper on the standard workload (14.7% lower).
Qwen3 235B A22B is $0.35 cheaper per 1M input tokens (43.1% lower; 1.76x difference).
Aion-2.0 is $0.22 cheaper per 1M output tokens (12.1% lower; 1.14x difference).
Both models report the same context window at 131.07K tokens.

Head-to-Head Specs

Feature	Aion-2.0 (AionLabs)	Qwen3 235B A22B (Qwen)
Input Price prompt tokens per 1M	$0.8	$0.455
Completion Price per 1M tokens	$1.6	$1.82
Sample Workload Cost 1M input + 500K output	$1.6	$1.36
Context Window	131.07K	131.07K
Release Date	2026-02-23	2025-04-28
Popularity	#117	#131

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 235B A22B	On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.6 for Aion-2.0, saving $0.24 (14.7% lower).
High-volume input processing	Qwen3 235B A22B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Aion-2.0	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

Aion-1.0-Mini can replace Aion-2.0 when lower sample workload cost matters most: $1.4.
Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.09.

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.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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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

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

AionLabs catalog

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

Open AionLabs models

Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models

Aion-2.0

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....

Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...