API cost decision in 10 seconds

Qwen3.5-122B-A10B vs Gemini 3.1 Pro Preview

Pick Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B 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, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).

Cost-first pickQwen3.5-122B-A10B
Context-first pickGemini 3.1 Pro Preview
Sample savings$6.783.8%
10x traffic gap$67

Gemini 3.1 Pro Preview has more context, but Qwen3.5-122B-A10B saves $6.7 on the standard workload. At 10x that traffic, the same price gap is about $67. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-122B-A10B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5-122B-A10BGemini 3.1 Pro Preview
Input-heavy / RAG5M input + 500K outputQwen3.5-122B-A10B$2.34$16
Balanced workload1M input + 1M outputQwen3.5-122B-A10B$2.34$14
Output-heavy chatbot1M input + 5M outputQwen3.5-122B-A10B$10.66$62
Cheaper input Qwen3.5-122B-A10B $0.26 vs $2 / 1M

Qwen3.5-122B-A10B is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).

Cheaper output Qwen3.5-122B-A10B $2.08 vs $12 / 1M

Qwen3.5-122B-A10B is $9.92 cheaper per 1M output tokens (82.7% lower; 5.77x difference).

Larger context Gemini 3.1 Pro Preview 262.14K vs 1.05M

Gemini 3.1 Pro Preview has 786.43K more context (4x larger).

Sample workload Qwen3.5-122B-A10B $1.3 vs $8

Qwen3.5-122B-A10B is $6.7 cheaper on the standard workload (83.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-122B-A10B Calculating… Estimated API cost
Gemini 3.1 Pro Preview 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

Qwen3.5-122B-A10B has the lower input price; Qwen3.5-122B-A10B has the lower output price; Gemini 3.1 Pro Preview offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-122B-A10B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.5-122B-A10B and $8 for Gemini 3.1 Pro Preview.

Best Fit

Choose Qwen3.5-122B-A10B when you care most about lower input-token price, and lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).
  • Qwen3.5-122B-A10B is $6.7 cheaper on the standard workload (83.8% lower).
  • Qwen3.5-122B-A10B is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).
  • Qwen3.5-122B-A10B is $9.92 cheaper per 1M output tokens (82.7% lower; 5.77x difference).
  • Gemini 3.1 Pro Preview has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureQwen3.5-122B-A10B
(Qwen)
Gemini 3.1 Pro Preview
(Google)
Input Price
prompt tokens per 1M
$0.26$2
Completion Price
per 1M tokens
$2.08$12
Sample Workload Cost
1M input + 500K output
$1.3$8
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-122B-A10BOn the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Gemini 3.1 Pro Preview, saving $6.7 (83.8% lower).
High-volume input processingQwen3.5-122B-A10BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5-122B-A10BLower 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

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

Qwen catalog

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

Open Qwen models

Google catalog

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

Open Google models
Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

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...