API cost decision in 10 seconds

Gemma 4 31B vs Qwen3 VL 8B Instruct

Pick Gemma 4 31B when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 31B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.33 for Qwen3 VL 8B Instruct, saving $0.03 (7.6% lower).

Cost-first pickGemma 4 31B

Context-first pickGemma 4 31B

Sample savings$0.037.6%

10x traffic gap$0.25

Gemma 4 31B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. 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 8B Instruct, balanced workload favors Gemma 4 31B, and output-heavy chatbot favors Gemma 4 31B.

Workload shape	Token mix	Better pick	Gemma 4 31B	Qwen3 VL 8B Instruct
Input-heavy / RAG	5M input + 500K output	Qwen3 VL 8B Instruct	$0.78	$0.65
Balanced workload	1M input + 1M output	Gemma 4 31B	$0.49	$0.58
Output-heavy chatbot	1M input + 5M output	Gemma 4 31B	$1.97	$2.58

Cheaper input Qwen3 VL 8B Instruct $0.12 vs $0.08 / 1M

Qwen3 VL 8B Instruct is $0.04 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output Gemma 4 31B $0.37 vs $0.5 / 1M

Gemma 4 31B is $0.13 cheaper per 1M output tokens (26% lower; 1.35x difference).

Larger context Gemma 4 31B 262.14K vs 256K

Gemma 4 31B has 6.14K more context (1.02x larger).

Sample workload Gemma 4 31B $0.3 vs $0.33

Gemma 4 31B is $0.03 cheaper on the standard workload (7.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemma 4 31B Calculating… Estimated API cost

Qwen3 VL 8B Instruct 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 VL 8B Instruct has the lower input price; Gemma 4 31B has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for Gemma 4 31B and $0.33 for Qwen3 VL 8B Instruct.

Best Fit

Choose Gemma 4 31B when you care most about lower output-token price, and larger context window.

Choose Qwen3 VL 8B Instruct when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.33 for Qwen3 VL 8B Instruct, saving $0.03 (7.6% lower).
Gemma 4 31B is $0.03 cheaper on the standard workload (7.6% lower).
Qwen3 VL 8B Instruct is $0.04 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
Gemma 4 31B is $0.13 cheaper per 1M output tokens (26% lower; 1.35x difference).
Gemma 4 31B has 6.14K more context (1.02x larger).

Head-to-Head Specs

Feature	Gemma 4 31B (Google)	Qwen3 VL 8B Instruct (Qwen)
Input Price prompt tokens per 1M	$0.12	$0.08
Completion Price per 1M tokens	$0.37	$0.5
Sample Workload Cost 1M input + 500K output	$0.3	$0.33
Context Window	262.14K	256K
Release Date	2026-04-02	2025-10-14
Popularity	#27	#108

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 31B	On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.33 for Qwen3 VL 8B Instruct, saving $0.03 (7.6% lower).
High-volume input processing	Qwen3 VL 8B Instruct	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 4 31B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemma 4 31B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 31B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
Gemma 4 26B A4B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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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 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...