API cost decision in 10 seconds

NewMoondream 3.1 vs Gemini 3.8 Flash (batch)

Pick Gemini 3.8 Flash (batch) when budget and context both matter.

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

Budget verdict

Pick Gemini 3.8 Flash (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemini 3.8 Flash (batch) is estimated at $1.31 vs $1.55 for Moondream 3.1, saving $0.24 (15.3% lower).

Cost-first pickGemini 3.8 Flash (batch)
Context-first pickGemini 3.8 Flash (batch)
Sample savings$0.2415.3%
10x traffic gap$2.38

Gemini 3.8 Flash (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.38. 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 Moondream 3.1, balanced workload favors Gemini 3.8 Flash (batch), and output-heavy chatbot favors Gemini 3.8 Flash (batch).

Workload shapeToken mixBetter pickMoondream 3.1Gemini 3.8 Flash (batch)
Input-heavy / RAG5M input + 500K outputMoondream 3.1$2.75$2.81
Balanced workload1M input + 1M outputGemini 3.8 Flash (batch)$2.8$2.25
Output-heavy chatbot1M input + 5M outputGemini 3.8 Flash (batch)$12.8$9.75
Cheaper input Moondream 3.1 $0.3 vs $0.375 / 1M

Moondream 3.1 is $0.08 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Gemini 3.8 Flash (batch) $2.5 vs $1.875 / 1M

Gemini 3.8 Flash (batch) is $0.62 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context Gemini 3.8 Flash (batch) 32K vs 1.05M

Gemini 3.8 Flash (batch) has 1.02M more context (32.8x larger).

Sample workload Gemini 3.8 Flash (batch) $1.55 vs $1.31

Gemini 3.8 Flash (batch) is $0.24 cheaper on the standard workload (15.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Moondream 3.1 Calculating… Estimated API cost
Gemini 3.8 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

Moondream 3.1 has the lower input price; Gemini 3.8 Flash (batch) has the lower output price; Gemini 3.8 Flash (batch) offers the larger context window. For the 1M input plus 500K output sample, Gemini 3.8 Flash (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.55 for Moondream 3.1 and $1.31 for Gemini 3.8 Flash (batch).

Best Fit

Choose Moondream 3.1 when you care most about lower input-token price.

Choose Gemini 3.8 Flash (batch) when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemini 3.8 Flash (batch) is estimated at $1.31 vs $1.55 for Moondream 3.1, saving $0.24 (15.3% lower).
  • Gemini 3.8 Flash (batch) is $0.24 cheaper on the standard workload (15.3% lower).
  • Moondream 3.1 is $0.08 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Gemini 3.8 Flash (batch) is $0.62 cheaper per 1M output tokens (25% lower; 1.33x difference).
  • Gemini 3.8 Flash (batch) has 1.02M more context (32.8x larger).
Head-to-Head Specs
FeatureNewMoondream 3.1
(Moondream)
Gemini 3.8 Flash (batch)
(Google)
Input Price
prompt tokens per 1M
$0.3$0.375
Completion Price
per 1M tokens
$2.5$1.875
Sample Workload Cost
1M input + 500K output
$1.55$1.31
Context Window32K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemini 3.8 Flash (batch)On the standard 1M input plus 500K output workload, Gemini 3.8 Flash (batch) is estimated at $1.31 vs $1.55 for Moondream 3.1, saving $0.24 (15.3% lower).
High-volume input processingMoondream 3.1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemini 3.8 Flash (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 3.8 Flash (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 26B A4B (free) can replace Gemini 3.8 Flash (batch) when lower sample workload cost matters most: $0.
  • Gemma 4 31B (free) can replace Gemini 3.8 Flash (batch) when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini 3.8 Flash (batch) when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini 3.8 Flash (batch) when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

Cheaper alternatives

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

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Larger context alternatives

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

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Provider catalogs

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

Open provider hubs

Moondream catalog

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

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Google catalog

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

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Moondream 3.1

Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...

Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.