API cost decision in 10 seconds

Gemma 4 31B vs Qwen3 VL 32B Instruct

Pick Gemma 4 31B when budget is the priority.

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

Budget verdict

Pick Gemma 4 31B when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.31 for Qwen3 VL 32B Instruct, saving $0.007 (2.2% lower).

Cost-first pickGemma 4 31B
Context-first pickTie
Sample savings$0.0072.2%
10x traffic gap$0.07

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.07. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 VL 32B Instruct, balanced workload favors Gemma 4 31B, and output-heavy chatbot favors Gemma 4 31B.

Workload shapeToken mixBetter pickGemma 4 31BQwen3 VL 32B Instruct
Input-heavy / RAG 5M input + 500K output Qwen3 VL 32B Instruct $0.78 $0.73
Balanced workload 1M input + 1M output Gemma 4 31B $0.49 $0.52
Output-heavy chatbot 1M input + 5M output Gemma 4 31B $1.97 $2.18
Cheaper inputQwen3 VL 32B Instruct$0.12 vs $0.1 / 1M
Cheaper outputGemma 4 31B$0.37 vs $0.42 / 1M
Larger contextTie262.14K vs 262.14K
Sample workloadGemma 4 31B$0.3 vs $0.31

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31BCalculating…Estimated API cost
Qwen3 VL 32B InstructCalculating…Estimated API cost
Cheaper for this workloadCalculating…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 VL 32B Instruct has the lower input price, Gemma 4 31B has the lower output price, and Tie offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for Gemma 4 31B and $0.31 for Qwen3 VL 32B Instruct.

Best Fit

Choose Gemma 4 31B when you care most about lower output-token price.

Choose Qwen3 VL 32B Instruct when you care most about lower input-token price.

Head-to-Head Specs
FeatureGemma 4 31B
(Google)		Qwen3 VL 32B Instruct
(Qwen)
Input Price
prompt tokens per 1M		$0.12$0.1
Completion Price
per 1M tokens		$0.37$0.42
Sample Workload Cost
1M input + 500K output		$0.3$0.31
Context Window262.14K262.14K
Release Date2026-04-022025-10-23
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 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31BOn the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.31 for Qwen3 VL 32B Instruct, saving $0.007 (2.2% lower).
High-volume input processingQwen3 VL 32B InstructLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsGemma 4 31BLower 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 and source files.