API cost decision in 10 seconds

NewLaguna XS.2 (free) vs Qwen3 235B A22B Thinking 2507

Pick Laguna XS.2 (free) for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Laguna XS.2 (free) for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).

Cost-first pickLaguna XS.2 (free)
Context-first pickQwen3 235B A22B Thinking 2507
Sample savings$0.9100%
10x traffic gap$8.97

Qwen3 235B A22B Thinking 2507 has more context, but Laguna XS.2 (free) saves $0.9 on the standard workload. At 10x that traffic, the same price gap is about $8.97. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Laguna XS.2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLaguna XS.2 (free)Qwen3 235B A22B Thinking 2507
Input-heavy / RAG5M input + 500K outputLaguna XS.2 (free)$0$1.5
Balanced workload1M input + 1M outputLaguna XS.2 (free)$0$1.64
Output-heavy chatbot1M input + 5M outputLaguna XS.2 (free)$0$7.62
Cheaper input Laguna XS.2 (free) $0 vs $0.1495 / 1M

Laguna XS.2 (free) is free for input tokens while Qwen3 235B A22B Thinking 2507 costs $0.15 per 1M tokens.

Cheaper output Laguna XS.2 (free) $0 vs $1.495 / 1M

Laguna XS.2 (free) is free for output tokens while Qwen3 235B A22B Thinking 2507 costs $1.5 per 1M tokens.

Larger context Qwen3 235B A22B Thinking 2507 131.07K vs 262.14K

Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).

Sample workload Laguna XS.2 (free) $0 vs $0.9

Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.9.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Laguna XS.2 (free) Calculating… Estimated API cost
Qwen3 235B A22B Thinking 2507 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

Laguna XS.2 (free) has the lower input price; Laguna XS.2 (free) has the lower output price; Qwen3 235B A22B Thinking 2507 offers the larger context window. For the 1M input plus 500K output sample, Laguna XS.2 (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Laguna XS.2 (free) and $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

Choose Laguna XS.2 (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 235B A22B Thinking 2507 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).
  • Laguna XS.2 (free) is free for the standard workload while the other model is estimated at $0.9.
  • Laguna XS.2 (free) is free for input tokens while Qwen3 235B A22B Thinking 2507 costs $0.15 per 1M tokens.
  • Laguna XS.2 (free) is free for output tokens while Qwen3 235B A22B Thinking 2507 costs $1.5 per 1M tokens.
  • Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNewLaguna XS.2 (free)
(Poolside)
Qwen3 235B A22B Thinking 2507
(Qwen)
Input Price
prompt tokens per 1M
$0$0.1495
Completion Price
per 1M tokens
$0$1.495
Sample Workload Cost
1M input + 500K output
$0$0.9
Context Window131.07K262.14K
Release Date
Popularity#56#133

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLaguna XS.2 (free)On the standard 1M input plus 500K output workload, Laguna XS.2 (free) is estimated at $0 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.9 (100% lower).
High-volume input processingLaguna XS.2 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna XS.2 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 235B A22B Thinking 2507A 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 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
  • Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
  • Qwen2.5 7B Instruct can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.09.
  • Qwen3.5-9B can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.11.
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Larger context alternatives

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Provider catalogs

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Poolside catalog

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Qwen catalog

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Laguna XS.2 (free)

Laguna XS.2 is the second-generation model in the XS size class from [Poolside](https://poolside.ai), their efficient coding agent series. It combines tool calling and reasoning capabilities with a compact footprint, offering...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...