API cost decision in 10 seconds

New🔥Gemini 3.5 Flash vs Qwen3 VL 8B Instruct

Pick Qwen3 VL 8B Instruct for lower cost; pick Gemini 3.5 Flash only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 VL 8B Instruct for lower cost; pick Gemini 3.5 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $6 for Gemini 3.5 Flash, saving $5.67 (94.5% lower).

Cost-first pickQwen3 VL 8B Instruct

Context-first pickGemini 3.5 Flash

Sample savings$5.6794.5%

10x traffic gap$56.7

Gemini 3.5 Flash has more context, but Qwen3 VL 8B Instruct saves $5.67 on the standard workload. At 10x that traffic, the same price gap is about $56.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 VL 8B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Gemini 3.5 Flash	Qwen3 VL 8B Instruct
Input-heavy / RAG	5M input + 500K output	Qwen3 VL 8B Instruct	$12	$0.65
Balanced workload	1M input + 1M output	Qwen3 VL 8B Instruct	$10.5	$0.58
Output-heavy chatbot	1M input + 5M output	Qwen3 VL 8B Instruct	$46.5	$2.58

Cheaper input Qwen3 VL 8B Instruct $1.5 vs $0.08 / 1M

Qwen3 VL 8B Instruct is $1.42 cheaper per 1M input tokens (94.7% lower; 18.8x difference).

Cheaper output Qwen3 VL 8B Instruct $9 vs $0.5 / 1M

Qwen3 VL 8B Instruct is $8.5 cheaper per 1M output tokens (94.4% lower; 18x difference).

Larger context Gemini 3.5 Flash 1.05M vs 256K

Gemini 3.5 Flash has 792.58K more context (4.1x larger).

Sample workload Qwen3 VL 8B Instruct $6 vs $0.33

Qwen3 VL 8B Instruct is $5.67 cheaper on the standard workload (94.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemini 3.5 Flash 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; Qwen3 VL 8B Instruct has the lower output price; Gemini 3.5 Flash offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 8B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6 for Gemini 3.5 Flash and $0.33 for Qwen3 VL 8B Instruct.

Best Fit

Choose Gemini 3.5 Flash when you care most about larger context window.

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

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $6 for Gemini 3.5 Flash, saving $5.67 (94.5% lower).
Qwen3 VL 8B Instruct is $5.67 cheaper on the standard workload (94.5% lower).
Qwen3 VL 8B Instruct is $1.42 cheaper per 1M input tokens (94.7% lower; 18.8x difference).
Qwen3 VL 8B Instruct is $8.5 cheaper per 1M output tokens (94.4% lower; 18x difference).
Gemini 3.5 Flash has 792.58K more context (4.1x larger).

Head-to-Head Specs

Feature	New🔥Gemini 3.5 Flash (Google)	Qwen3 VL 8B Instruct (Qwen)
Input Price prompt tokens per 1M	$1.5	$0.08
Completion Price per 1M tokens	$9	$0.5
Sample Workload Cost 1M input + 500K output	$6	$0.33
Context Window	1.05M	256K
Release Date	2026-05-19	2025-10-14
Popularity	#11	#108

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 VL 8B Instruct	On the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $6 for Gemini 3.5 Flash, saving $5.67 (94.5% 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	Qwen3 VL 8B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemini 3.5 Flash	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 Gemini 3.5 Flash when lower sample workload cost matters most: $0.
Gemma 4 26B A4B (free) can replace Gemini 3.5 Flash when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemini 3.5 Flash when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemini 3.5 Flash 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.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Owl Alpha offers 1.05M context with $0 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

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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

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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...