API cost decision in 10 seconds

Qwen3.5 Plus 2026-02-15 vs Nova 2 Lite

Pick Qwen3.5 Plus 2026-02-15 when budget is the priority.

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

Budget verdict

Pick Qwen3.5 Plus 2026-02-15 when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $1.55 for Nova 2 Lite, saving $0.51 (32.9% lower).

Cost-first pickQwen3.5 Plus 2026-02-15
Context-first pickBoth models
Sample savings$0.5132.9%
10x traffic gap$5.1

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $5.1. 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 Plus 2026-02-15 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5 Plus 2026-02-15Nova 2 Lite
Input-heavy / RAG5M input + 500K outputQwen3.5 Plus 2026-02-15$2.08$2.75
Balanced workload1M input + 1M outputQwen3.5 Plus 2026-02-15$1.82$2.8
Output-heavy chatbot1M input + 5M outputQwen3.5 Plus 2026-02-15$8.06$12.8
Cheaper input Qwen3.5 Plus 2026-02-15 $0.26 vs $0.3 / 1M

Qwen3.5 Plus 2026-02-15 is $0.04 cheaper per 1M input tokens (13.3% lower; 1.15x difference).

Cheaper output Qwen3.5 Plus 2026-02-15 $1.56 vs $2.5 / 1M

Qwen3.5 Plus 2026-02-15 is $0.94 cheaper per 1M output tokens (37.6% lower; 1.6x difference).

Larger context Tie 1M vs 1M

Both models report the same context window at 1M tokens.

Sample workload Qwen3.5 Plus 2026-02-15 $1.04 vs $1.55

Qwen3.5 Plus 2026-02-15 is $0.51 cheaper on the standard workload (32.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 Plus 2026-02-15 Calculating… Estimated API cost
Nova 2 Lite 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 Plus 2026-02-15 has the lower input price; Qwen3.5 Plus 2026-02-15 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.5 Plus 2026-02-15 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Qwen3.5 Plus 2026-02-15 and $1.55 for Nova 2 Lite.

Best Fit

Choose Qwen3.5 Plus 2026-02-15 when you care most about lower input-token price, and lower output-token price.

Choose Nova 2 Lite 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 Plus 2026-02-15 is estimated at $1.04 vs $1.55 for Nova 2 Lite, saving $0.51 (32.9% lower).
  • Qwen3.5 Plus 2026-02-15 is $0.51 cheaper on the standard workload (32.9% lower).
  • Qwen3.5 Plus 2026-02-15 is $0.04 cheaper per 1M input tokens (13.3% lower; 1.15x difference).
  • Qwen3.5 Plus 2026-02-15 is $0.94 cheaper per 1M output tokens (37.6% lower; 1.6x difference).
  • Both models report the same context window at 1M tokens.
Head-to-Head Specs
FeatureQwen3.5 Plus 2026-02-15
(Qwen)
Nova 2 Lite
(Amazon)
Input Price
prompt tokens per 1M
$0.26$0.3
Completion Price
per 1M tokens
$1.56$2.5
Sample Workload Cost
1M input + 500K output
$1.04$1.55
Context Window1M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5 Plus 2026-02-15On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $1.55 for Nova 2 Lite, saving $0.51 (32.9% lower).
High-volume input processingQwen3.5 Plus 2026-02-15Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5 Plus 2026-02-15Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Larger context near this budget

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

Qwen catalog

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

Open Qwen models

Amazon catalog

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

Open Amazon models
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