API cost decision in 10 seconds

Gemini 2.5 Pro vs Qwen3 8B

Pick Qwen3 8B for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.

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

Budget verdict

Pick Qwen3 8B for lower cost; pick Gemini 2.5 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $6.25 for Gemini 2.5 Pro, saving $6 (96% lower).

Cost-first pickQwen3 8B
Context-first pickGemini 2.5 Pro
Sample savings$696%
10x traffic gap$60

Gemini 2.5 Pro has more context, but Qwen3 8B saves $6 on the standard workload. At 10x that traffic, the same price gap is about $60. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

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

Workload shapeToken mixBetter pickGemini 2.5 ProQwen3 8B
Input-heavy / RAG5M input + 500K outputQwen3 8B$11.25$0.45
Balanced workload1M input + 1M outputQwen3 8B$11.25$0.45
Output-heavy chatbot1M input + 5M outputQwen3 8B$51.25$2.05
Cheaper input Qwen3 8B $1.25 vs $0.05 / 1M

Qwen3 8B is $1.2 cheaper per 1M input tokens (96% lower; 25x difference).

Cheaper output Qwen3 8B $10 vs $0.4 / 1M

Qwen3 8B is $9.6 cheaper per 1M output tokens (96% lower; 25x difference).

Larger context Gemini 2.5 Pro 1.05M vs 131.07K

Gemini 2.5 Pro has 917.5K more context (8x larger).

Sample workload Qwen3 8B $6.25 vs $0.25

Qwen3 8B is $6 cheaper on the standard workload (96% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 2.5 Pro Calculating… Estimated API cost
Qwen3 8B 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 8B has the lower input price; Qwen3 8B has the lower output price; Gemini 2.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 8B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Gemini 2.5 Pro and $0.25 for Qwen3 8B.

Best Fit

Choose Gemini 2.5 Pro when you care most about larger context window.

Choose Qwen3 8B 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 8B is estimated at $0.25 vs $6.25 for Gemini 2.5 Pro, saving $6 (96% lower).
  • Qwen3 8B is $6 cheaper on the standard workload (96% lower).
  • Qwen3 8B is $1.2 cheaper per 1M input tokens (96% lower; 25x difference).
  • Qwen3 8B is $9.6 cheaper per 1M output tokens (96% lower; 25x difference).
  • Gemini 2.5 Pro has 917.5K more context (8x larger).
Head-to-Head Specs
FeatureGemini 2.5 Pro
(Google)
Qwen3 8B
(Qwen)
Input Price
prompt tokens per 1M
$1.25$0.05
Completion Price
per 1M tokens
$10$0.4
Sample Workload Cost
1M input + 500K output
$6.25$0.25
Context Window1.05M131.07K
Release Date
Popularity#55#102

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 8BOn the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $6.25 for Gemini 2.5 Pro, saving $6 (96% lower).
High-volume input processingQwen3 8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 8BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 2.5 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Google catalog

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Qwen catalog

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

Open Qwen models
Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...