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Gemma 4 31B vs Qwen3 VL 30B A3B Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 31B and Qwen3 VL 30B A3B Thinking.

Google

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...

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Alibaba

Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

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Technical Specifications

SpecificationGemma 4 31BQwen3 VL 30B A3B Thinking
ProviderGoogleAlibaba
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-022025-10-06

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 31B

$0.12

Qwen3 VL 30B A3B Thinking

$0.13

Output Price per Million Tokens

Gemma 4 31B

$0.35

Qwen3 VL 30B A3B Thinking

$1.56

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Gemma 4 31B Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 30B A3B Thinking Quirks & Gotchas

No developer gotchas reported.