API cost decision in 10 seconds

NewCoBuddy (free) vs Qwen3.5 Plus 2026-02-15

Pick CoBuddy (free) for lower cost; pick Qwen3.5 Plus 2026-02-15 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 CoBuddy (free) for lower cost; pick Qwen3.5 Plus 2026-02-15 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $1.04 (100% lower).

Cost-first pickCoBuddy (free)
Context-first pickQwen3.5 Plus 2026-02-15
Sample savings$1.04100%
10x traffic gap$10.4

Qwen3.5 Plus 2026-02-15 has more context, but CoBuddy (free) saves $1.04 on the standard workload. At 10x that traffic, the same price gap is about $10.4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

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

Workload shapeToken mixBetter pickCoBuddy (free)Qwen3.5 Plus 2026-02-15
Input-heavy / RAG5M input + 500K outputCoBuddy (free)$0$2.08
Balanced workload1M input + 1M outputCoBuddy (free)$0$1.82
Output-heavy chatbot1M input + 5M outputCoBuddy (free)$0$8.06
Cheaper input CoBuddy (free) $0 vs $0.26 / 1M

CoBuddy (free) is free for input tokens while Qwen3.5 Plus 2026-02-15 costs $0.26 per 1M tokens.

Cheaper output CoBuddy (free) $0 vs $1.56 / 1M

CoBuddy (free) is free for output tokens while Qwen3.5 Plus 2026-02-15 costs $1.56 per 1M tokens.

Larger context Qwen3.5 Plus 2026-02-15 131.07K vs 1M

Qwen3.5 Plus 2026-02-15 has 868.93K more context (7.63x larger).

Sample workload CoBuddy (free) $0 vs $1.04

CoBuddy (free) is free for the standard workload while the other model is estimated at $1.04.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
CoBuddy (free) Calculating… Estimated API cost
Qwen3.5 Plus 2026-02-15 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

CoBuddy (free) has the lower input price; CoBuddy (free) has the lower output price; Qwen3.5 Plus 2026-02-15 offers the larger context window. For the 1M input plus 500K output sample, CoBuddy (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $1.04 for Qwen3.5 Plus 2026-02-15.

Best Fit

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

Choose Qwen3.5 Plus 2026-02-15 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $1.04 (100% lower).
  • CoBuddy (free) is free for the standard workload while the other model is estimated at $1.04.
  • CoBuddy (free) is free for input tokens while Qwen3.5 Plus 2026-02-15 costs $0.26 per 1M tokens.
  • CoBuddy (free) is free for output tokens while Qwen3.5 Plus 2026-02-15 costs $1.56 per 1M tokens.
  • Qwen3.5 Plus 2026-02-15 has 868.93K more context (7.63x larger).
Head-to-Head Specs
FeatureNewCoBuddy (free)
(Baidu Qianfan)
Qwen3.5 Plus 2026-02-15
(Qwen)
Input Price
prompt tokens per 1M
$0$0.26
Completion Price
per 1M tokens
$0$1.56
Sample Workload Cost
1M input + 500K output
$0$1.04
Context Window131.07K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionCoBuddy (free)On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $1.04 for Qwen3.5 Plus 2026-02-15, saving $1.04 (100% lower).
High-volume input processingCoBuddy (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsCoBuddy (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5 Plus 2026-02-15A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Baidu Qianfan catalog

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Qwen catalog

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