API cost decision in 10 seconds

Gemma 4 31B (free) vs Qwen3.6 Plus

Pick Gemma 4 31B (free) for lower cost; pick Qwen3.6 Plus 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 Gemma 4 31B (free) for lower cost; pick Qwen3.6 Plus only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.3 for Qwen3.6 Plus, saving $1.3 (100% lower).

Cost-first pickGemma 4 31B (free)
Context-first pickQwen3.6 Plus
Sample savings$1.3100%
10x traffic gap$13

Qwen3.6 Plus has more context, but Gemma 4 31B (free) saves $1.3 on the standard workload. At 10x that traffic, the same price gap is about $13. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31B (free)Qwen3.6 Plus
Input-heavy / RAG5M input + 500K outputGemma 4 31B (free)$0$2.6
Balanced workload1M input + 1M outputGemma 4 31B (free)$0$2.27
Output-heavy chatbot1M input + 5M outputGemma 4 31B (free)$0$10.07
Cheaper input Gemma 4 31B (free) $0 vs $0.325 / 1M

Gemma 4 31B (free) is free for input tokens while Qwen3.6 Plus costs $0.33 per 1M tokens.

Cheaper output Gemma 4 31B (free) $0 vs $1.95 / 1M

Gemma 4 31B (free) is free for output tokens while Qwen3.6 Plus costs $1.95 per 1M tokens.

Larger context Qwen3.6 Plus 262.14K vs 1M

Qwen3.6 Plus has 737.86K more context (3.81x larger).

Sample workload Gemma 4 31B (free) $0 vs $1.3

Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $1.3.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B (free) Calculating… Estimated API cost
Qwen3.6 Plus 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

Gemma 4 31B (free) has the lower input price; Gemma 4 31B (free) has the lower output price; Qwen3.6 Plus offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Gemma 4 31B (free) and $1.3 for Qwen3.6 Plus.

Best Fit

Choose Gemma 4 31B (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.6 Plus when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.3 for Qwen3.6 Plus, saving $1.3 (100% lower).
  • Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $1.3.
  • Gemma 4 31B (free) is free for input tokens while Qwen3.6 Plus costs $0.33 per 1M tokens.
  • Gemma 4 31B (free) is free for output tokens while Qwen3.6 Plus costs $1.95 per 1M tokens.
  • Qwen3.6 Plus has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureGemma 4 31B (free)
(Google)
Qwen3.6 Plus
(Qwen)
Input Price
prompt tokens per 1M
$0$0.325
Completion Price
per 1M tokens
$0$1.95
Sample Workload Cost
1M input + 500K output
$0$1.3
Context Window262.14K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31B (free)On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.3 for Qwen3.6 Plus, saving $1.3 (100% lower).
High-volume input processingGemma 4 31B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 PlusA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
Popular competitors
  • No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

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
Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Qwen3.6 Plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...