API cost decision in 10 seconds

gpt-oss-20b (free) vs Qwen3 VL 30B A3B Instruct

Pick gpt-oss-20b (free) for lower cost; pick Qwen3 VL 30B A3B Instruct 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 gpt-oss-20b (free) for lower cost; pick Qwen3 VL 30B A3B Instruct only if the larger context window matters more.

On the standard 1M input plus 500K output workload, gpt-oss-20b (free) is estimated at $0 vs $0.39 for Qwen3 VL 30B A3B Instruct, saving $0.39 (100% lower).

Cost-first pickgpt-oss-20b (free)

Context-first pickQwen3 VL 30B A3B Instruct

Sample savings$0.39100%

10x traffic gap$3.9

Qwen3 VL 30B A3B Instruct has more context, but gpt-oss-20b (free) saves $0.39 on the standard workload. At 10x that traffic, the same price gap is about $3.9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

gpt-oss-20b (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	gpt-oss-20b (free)	Qwen3 VL 30B A3B Instruct
Input-heavy / RAG	5M input + 500K output	gpt-oss-20b (free)	$0	$0.91
Balanced workload	1M input + 1M output	gpt-oss-20b (free)	$0	$0.65
Output-heavy chatbot	1M input + 5M output	gpt-oss-20b (free)	$0	$2.73

Cheaper input gpt-oss-20b (free) $0 vs $0.13 / 1M

gpt-oss-20b (free) is free for input tokens while Qwen3 VL 30B A3B Instruct costs $0.13 per 1M tokens.

Cheaper output gpt-oss-20b (free) $0 vs $0.52 / 1M

gpt-oss-20b (free) is free for output tokens while Qwen3 VL 30B A3B Instruct costs $0.52 per 1M tokens.

Larger context Qwen3 VL 30B A3B Instruct 131.07K vs 262.14K

Qwen3 VL 30B A3B Instruct has 131.07K more context (2x larger).

Sample workload gpt-oss-20b (free) $0 vs $0.39

gpt-oss-20b (free) is free for the standard workload while the other model is estimated at $0.39.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

gpt-oss-20b (free) Calculating… Estimated API cost

Qwen3 VL 30B A3B 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

gpt-oss-20b (free) has the lower input price; gpt-oss-20b (free) has the lower output price; Qwen3 VL 30B A3B Instruct offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-20b (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for gpt-oss-20b (free) and $0.39 for Qwen3 VL 30B A3B Instruct.

Best Fit

Choose gpt-oss-20b (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 VL 30B A3B Instruct when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, gpt-oss-20b (free) is estimated at $0 vs $0.39 for Qwen3 VL 30B A3B Instruct, saving $0.39 (100% lower).
gpt-oss-20b (free) is free for the standard workload while the other model is estimated at $0.39.
gpt-oss-20b (free) is free for input tokens while Qwen3 VL 30B A3B Instruct costs $0.13 per 1M tokens.
gpt-oss-20b (free) is free for output tokens while Qwen3 VL 30B A3B Instruct costs $0.52 per 1M tokens.
Qwen3 VL 30B A3B Instruct has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	gpt-oss-20b (free) (OpenAI)	Qwen3 VL 30B A3B Instruct (Qwen)
Input Price prompt tokens per 1M	$0	$0.13
Completion Price per 1M tokens	$0	$0.52
Sample Workload Cost 1M input + 500K output	$0	$0.39
Context Window	131.07K	262.14K
Release Date	2025-08-05	2025-10-06
Popularity	#72	#116

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	gpt-oss-20b (free)	On the standard 1M input plus 500K output workload, gpt-oss-20b (free) is estimated at $0 vs $0.39 for Qwen3 VL 30B A3B Instruct, saving $0.39 (100% lower).
High-volume input processing	gpt-oss-20b (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	gpt-oss-20b (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 VL 30B A3B Instruct	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 VL 30B A3B Instruct when lower sample workload cost matters most: $0.11.

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

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Provider catalogs

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OpenAI catalog

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Qwen catalog

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

Open Qwen models

gpt-oss-20b (free)

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...