API cost decision in 10 seconds

Qwen3 VL 235B A22B Thinking vs Gemma 3 4B

Pick Gemma 3 4B when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 3 4B when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 3 4B is estimated at $0.08 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $1.48 (94.9% lower).

Cost-first pickGemma 3 4B
Context-first pickBoth models
Sample savings$1.4894.9%
10x traffic gap$14.8

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $14.8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 3 4B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3 VL 235B A22B ThinkingGemma 3 4B
Input-heavy / RAG5M input + 500K outputGemma 3 4B$2.6$0.24
Balanced workload1M input + 1M outputGemma 3 4B$2.86$0.12
Output-heavy chatbot1M input + 5M outputGemma 3 4B$13.26$0.44
Cheaper input Gemma 3 4B $0.26 vs $0.04 / 1M

Gemma 3 4B is $0.22 cheaper per 1M input tokens (84.6% lower; 6.5x difference).

Cheaper output Gemma 3 4B $2.6 vs $0.08 / 1M

Gemma 3 4B is $2.52 cheaper per 1M output tokens (96.9% lower; 32.5x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Gemma 3 4B $1.56 vs $0.08

Gemma 3 4B is $1.48 cheaper on the standard workload (94.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 VL 235B A22B Thinking Calculating… Estimated API cost
Gemma 3 4B 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

Gemma 3 4B has the lower input price; Gemma 3 4B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemma 3 4B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3 VL 235B A22B Thinking and $0.08 for Gemma 3 4B.

Best Fit

Choose Qwen3 VL 235B A22B Thinking when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Gemma 3 4B 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, Gemma 3 4B is estimated at $0.08 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $1.48 (94.9% lower).
  • Gemma 3 4B is $1.48 cheaper on the standard workload (94.9% lower).
  • Gemma 3 4B is $0.22 cheaper per 1M input tokens (84.6% lower; 6.5x difference).
  • Gemma 3 4B is $2.52 cheaper per 1M output tokens (96.9% lower; 32.5x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
FeatureQwen3 VL 235B A22B Thinking
(Qwen)		Gemma 3 4B
(Google)
Input Price
prompt tokens per 1M		$0.26$0.04
Completion Price
per 1M tokens		$2.6$0.08
Sample Workload Cost
1M input + 500K output		$1.56$0.08
Context Window131.07K131.07K
Release Date
Popularity#103#142

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 3 4BOn the standard 1M input plus 500K output workload, Gemma 3 4B is estimated at $0.08 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $1.48 (94.9% lower).
High-volume input processingGemma 3 4BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 3 4BLower 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, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
  • Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
  • Qwen2.5 7B Instruct can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.09.
  • Qwen3.5-9B can replace Qwen3 VL 235B A22B Thinking 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.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

Google catalog

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

Open Google models
Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

Gemma 3 4B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...