API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Gemini 3.5 Flash (batch)

Pick Gemini 3.5 Flash (batch) 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 Gemini 3.5 Flash (batch) when budget is the priority.

On the standard 1M input plus 500K output workload, Gemini 3.5 Flash (batch) is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower).

Cost-first pickGemini 3.5 Flash (batch)
Context-first pickBoth models
Sample savings$240%
10x traffic gap$20

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $20. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemini 3.5 Flash (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BGemini 3.5 Flash (batch)
Input-heavy / RAG5M input + 500K outputGemini 3.5 Flash (batch)$13$6
Balanced workload1M input + 1M outputGemini 3.5 Flash (batch)$8$5.25
Output-heavy chatbot1M input + 5M outputGemini 3.5 Flash (batch)$32$23.25
Cheaper input Gemini 3.5 Flash (batch) $2 vs $0.75 / 1M

Gemini 3.5 Flash (batch) is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).

Cheaper output Gemini 3.5 Flash (batch) $6 vs $4.5 / 1M

Gemini 3.5 Flash (batch) is $1.5 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context Tie 1.05M vs 1.05M

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

Sample workload Gemini 3.5 Flash (batch) $5 vs $3

Gemini 3.5 Flash (batch) is $2 cheaper on the standard workload (40% 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 (batch) 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 (batch) has the lower input price; Gemini 3.5 Flash (batch) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemini 3.5 Flash (batch) 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 $3 for Gemini 3.5 Flash (batch).

Best Fit

Choose Qwen3.8 2.4T A95B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Gemini 3.5 Flash (batch) 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, Gemini 3.5 Flash (batch) is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower).
  • Gemini 3.5 Flash (batch) is $2 cheaper on the standard workload (40% lower).
  • Gemini 3.5 Flash (batch) is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
  • Gemini 3.5 Flash (batch) is $1.5 cheaper per 1M output tokens (25% lower; 1.33x 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 (batch)
(Google)
Input Price
prompt tokens per 1M
$2$0.75
Completion Price
per 1M tokens
$6$4.5
Sample Workload Cost
1M input + 500K output
$5$3
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemini 3.5 Flash (batch)On the standard 1M input plus 500K output workload, Gemini 3.5 Flash (batch) is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower).
High-volume input processingGemini 3.5 Flash (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemini 3.5 Flash (batch)Lower 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

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Provider catalogs

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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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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 (batch)

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...