API cost decision in 10 seconds

🔥Gemma 4 31B vs 🔥Qwen3.6 Plus 04 02

Use the price and context table to shortlist the better API fit; one or both models are missing full workload pricing.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Use the price and context table to shortlist the better API fit; one or both models are missing full workload pricing.

The standard workload estimate is unavailable because one or both models are missing numeric input or output prices.

Cost-first pickN/A
Context-first pickGemma 4 31B
Sample savingsN/AN/A
10x traffic gapN/A

Context-window winner: Gemma 4 31B. Use the custom calculator below when both input and output prices are available.

Cheaper input Tie $0.12 vs Not listed / 1M

Input price data is incomplete for one or both models.

Cheaper output Tie $0.37 vs Not listed / 1M

Output price data is incomplete for one or both models.

Larger context Gemma 4 31B 262.14K vs N/A

Context window data is incomplete for one or both models.

Sample workload N/A $0.3 vs N/A

The standard workload estimate is unavailable because one or both models are missing numeric prices.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B Calculating… Estimated API cost
Qwen3.6 Plus 04 02 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

both models tie on input price; both models tie on output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is unavailable.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for Gemma 4 31B and N/A for Qwen3.6 Plus 04 02.

Best Fit

Choose Gemma 4 31B when you care most about larger context window.

Choose Qwen3.6 Plus 04 02 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • The standard workload estimate is unavailable because one or both models are missing numeric input or output prices.
  • The standard workload estimate is unavailable because one or both models are missing numeric prices.
  • Input price data is incomplete for one or both models.
  • Output price data is incomplete for one or both models.
  • Context window data is incomplete for one or both models.
Head-to-Head Specs
Feature🔥Gemma 4 31B
(Google)		🔥Qwen3.6 Plus 04 02
(Qwen)
Input Price
prompt tokens per 1M		$0.12Not listed
Completion Price
per 1M tokens		$0.37Not listed
Sample Workload Cost
1M input + 500K output		$0.3N/A
Context Window262.14KN/A
Release DateN/A
Popularity Rank
current rank		#18#20

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionN/AThe standard workload estimate is unavailable because one or both models are missing numeric input or output prices.
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTieLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 4 31BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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-5.5 offers 1.05M context with $20 sample workload cost.

Cheaper alternatives

Review low-cost models ranked 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.

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Qwen catalog

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

Open Qwen models
Gemma 4 31B

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 04 02

This model appears in the model catalog's daily usage rankings, but the models API did not return pricing or context metadata for it.