API cost decision in 10 seconds

Gemini 3.1 Pro Preview vs Qwen3.5 Plus 2026-02-15

Pick Qwen3.5 Plus 2026-02-15 for lower cost; pick Gemini 3.1 Pro Preview 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 Qwen3.5 Plus 2026-02-15 for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $8 for Gemini 3.1 Pro Preview, saving $6.96 (87% lower).

Cost-first pickQwen3.5 Plus 2026-02-15
Context-first pickGemini 3.1 Pro Preview
Sample savings$6.9687%
10x traffic gap$69.6

Gemini 3.1 Pro Preview has more context, but Qwen3.5 Plus 2026-02-15 saves $6.96 on the standard workload. At 10x that traffic, the same price gap is about $69.6. 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 pickGemini 3.1 Pro PreviewQwen3.5 Plus 2026-02-15
Input-heavy / RAG5M input + 500K outputQwen3.5 Plus 2026-02-15$16$2.08
Balanced workload1M input + 1M outputQwen3.5 Plus 2026-02-15$14$1.82
Output-heavy chatbot1M input + 5M outputQwen3.5 Plus 2026-02-15$62$8.06
Cheaper input Qwen3.5 Plus 2026-02-15 $2 vs $0.26 / 1M

Qwen3.5 Plus 2026-02-15 is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).

Cheaper output Qwen3.5 Plus 2026-02-15 $12 vs $1.56 / 1M

Qwen3.5 Plus 2026-02-15 is $10.44 cheaper per 1M output tokens (87% lower; 7.69x difference).

Larger context Gemini 3.1 Pro Preview 1.05M vs 1M

Gemini 3.1 Pro Preview has 48.58K more context (1.05x larger).

Sample workload Qwen3.5 Plus 2026-02-15 $8 vs $1.04

Qwen3.5 Plus 2026-02-15 is $6.96 cheaper on the standard workload (87% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 3.1 Pro Preview 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

Qwen3.5 Plus 2026-02-15 has the lower input price; Qwen3.5 Plus 2026-02-15 has the lower output price; Gemini 3.1 Pro Preview offers the larger 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 $8 for Gemini 3.1 Pro Preview and $1.04 for Qwen3.5 Plus 2026-02-15.

Best Fit

Choose Gemini 3.1 Pro Preview when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5 Plus 2026-02-15 is estimated at $1.04 vs $8 for Gemini 3.1 Pro Preview, saving $6.96 (87% lower).
  • Qwen3.5 Plus 2026-02-15 is $6.96 cheaper on the standard workload (87% lower).
  • Qwen3.5 Plus 2026-02-15 is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).
  • Qwen3.5 Plus 2026-02-15 is $10.44 cheaper per 1M output tokens (87% lower; 7.69x difference).
  • Gemini 3.1 Pro Preview has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureGemini 3.1 Pro Preview
(Google)
Qwen3.5 Plus 2026-02-15
(Qwen)
Input Price
prompt tokens per 1M
$2$0.26
Completion Price
per 1M tokens
$12$1.56
Sample Workload Cost
1M input + 500K output
$8$1.04
Context Window1.05M1M
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 $8 for Gemini 3.1 Pro Preview, saving $6.96 (87% 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 workGemini 3.1 Pro PreviewA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 26B A4B (free) can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Gemma 4 31B (free) can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini 3.1 Pro Preview when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 sample workload cost.

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.

Open largest context models

Provider catalogs

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

Open provider hubs

Google catalog

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

Open Google models

Qwen catalog

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

Open Qwen models
Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...