API cost decision in 10 seconds

NewLaguna M.1 (free) vs Qwen3.6 35B A3B

Pick Laguna M.1 (free) for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Laguna M.1 (free) for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.65 for Qwen3.6 35B A3B, saving $0.65 (100% lower).

Cost-first pickLaguna M.1 (free)
Context-first pickQwen3.6 35B A3B
Sample savings$0.65100%
10x traffic gap$6.5

Qwen3.6 35B A3B has more context, but Laguna M.1 (free) saves $0.65 on the standard workload. At 10x that traffic, the same price gap is about $6.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Laguna M.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLaguna M.1 (free)Qwen3.6 35B A3B
Input-heavy / RAG5M input + 500K outputLaguna M.1 (free)$0$1.25
Balanced workload1M input + 1M outputLaguna M.1 (free)$0$1.15
Output-heavy chatbot1M input + 5M outputLaguna M.1 (free)$0$5.15
Cheaper input Laguna M.1 (free) $0 vs $0.15 / 1M

Laguna M.1 (free) is free for input tokens while Qwen3.6 35B A3B costs $0.15 per 1M tokens.

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

Laguna M.1 (free) is free for output tokens while Qwen3.6 35B A3B costs $1 per 1M tokens.

Larger context Qwen3.6 35B A3B 131.07K vs 262.14K

Qwen3.6 35B A3B has 131.07K more context (2x larger).

Sample workload Laguna M.1 (free) $0 vs $0.65

Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.65.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Laguna M.1 (free) Calculating… Estimated API cost
Qwen3.6 35B A3B 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 M.1 (free) has the lower input price; Laguna M.1 (free) has the lower output price; Qwen3.6 35B A3B offers the larger context window. For the 1M input plus 500K output sample, Laguna M.1 (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 M.1 (free) and $0.65 for Qwen3.6 35B A3B.

Best Fit

Choose Laguna M.1 (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.6 35B A3B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.65 for Qwen3.6 35B A3B, saving $0.65 (100% lower).
  • Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.65.
  • Laguna M.1 (free) is free for input tokens while Qwen3.6 35B A3B costs $0.15 per 1M tokens.
  • Laguna M.1 (free) is free for output tokens while Qwen3.6 35B A3B costs $1 per 1M tokens.
  • Qwen3.6 35B A3B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNewLaguna M.1 (free)
(Poolside)
Qwen3.6 35B A3B
(Qwen)
Input Price
prompt tokens per 1M
$0$0.15
Completion Price
per 1M tokens
$0$1
Sample Workload Cost
1M input + 500K output
$0$0.65
Context Window131.07K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLaguna M.1 (free)On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.65 for Qwen3.6 35B A3B, saving $0.65 (100% lower).
High-volume input processingLaguna M.1 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna M.1 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 35B A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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.

Open largest context models

Provider catalogs

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

Open provider hubs

Poolside catalog

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

Open Poolside models

Qwen catalog

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

Open Qwen models
Laguna M.1 (free)

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...

Qwen3.6 35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...