API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Gemini 3.5 Flash

Pick Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $6 for Gemini 3.5 Flash, saving $1 (16.7% lower).

Cost-first pickQwen3.8 2.4T A95B
Context-first pickBoth models
Sample savings$116.7%
10x traffic gap$10

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $10. 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 Gemini 3.5 Flash, balanced workload favors Qwen3.8 2.4T A95B, and output-heavy chatbot favors Qwen3.8 2.4T A95B.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BGemini 3.5 Flash
Input-heavy / RAG5M input + 500K outputGemini 3.5 Flash$13$12
Balanced workload1M input + 1M outputQwen3.8 2.4T A95B$8$10.5
Output-heavy chatbot1M input + 5M outputQwen3.8 2.4T A95B$32$46.5
Cheaper input Gemini 3.5 Flash $2 vs $1.5 / 1M

Gemini 3.5 Flash is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Qwen3.8 2.4T A95B $6 vs $9 / 1M

Qwen3.8 2.4T A95B is $3 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Qwen3.8 2.4T A95B $5 vs $6

Qwen3.8 2.4T A95B is $1 cheaper on the standard workload (16.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B Calculating… Estimated API cost
Gemini 3.5 Flash 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

Gemini 3.5 Flash has the lower input price; Qwen3.8 2.4T A95B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.8 2.4T A95B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $6 for Gemini 3.5 Flash.

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about lower output-token price.

Choose Gemini 3.5 Flash when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $6 for Gemini 3.5 Flash, saving $1 (16.7% lower).
  • Qwen3.8 2.4T A95B is $1 cheaper on the standard workload (16.7% lower).
  • Gemini 3.5 Flash is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Qwen3.8 2.4T A95B is $3 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Both models report the same context window at 1.05M tokens.
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Gemini 3.5 Flash
(Google)
Input Price
prompt tokens per 1M
$2$1.5
Completion Price
per 1M tokens
$6$9
Sample Workload Cost
1M input + 500K output
$5$6
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.8 2.4T A95BOn the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $6 for Gemini 3.5 Flash, saving $1 (16.7% lower).
High-volume input processingGemini 3.5 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.8 2.4T A95BLower 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

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Open provider hubs

Qwen catalog

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

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Google catalog

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Open Google models
Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

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...