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Gemini 3.8 Flash (batch) vs Qwen3 VL 30B A3B Thinking

Signal-by-Signal Comparison
SignalGemini 3.8 Flash (batch)DeltaQwen3 VL 30B A3B Thinking
Capabilities
100
+17
83
Pricing
98
+1
98
Context window size
96
+10
86
Recency
100
+31
69
Output Capacity
77
+5
72
Overall Result
5 wins
of 5
0 wins
Gemini 3.8 Flash (batch) wins 5 of 5 signals

Score History

Score History (32 data points)
Gemini 3.8 Flash (batch)Qwen3 VL 30B A3B Thinking
Gemini 3.8 Flash (batch)

81

current score

Leader

Gemini 3.8 Flash (batch)

right now

Qwen3 VL 30B A3B Thinking

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.8 Flash (batch)

Google

Best Value
Per request$0.001312
Daily$4.38
Monthly$131.25
Annual$1575.00

Qwen3 VL 30B A3B Thinking

Alibaba

Per request$0.001400
Daily$4.67
Monthly$140.00
Annual$1680.00

Gemini 3.8 Flash (batch) saves you $8.75/month

That's $105.00/year compared to Qwen3 VL 30B A3B Thinking at your current usage level of 100K calls/month.

6% cheaper
Choose Gemini 3.8 Flash (batch) for cost optimization

Gemini 3.8 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Qwen3 VL 30B A3B Thinking pricing:
Input:$0.20/M tokens
Output:$2.40/M tokens
Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

Qwen3 VL 30B A3B Thinking

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 Flash (batch)Qwen3 VL 30B A3B ThinkingWinner
Overall Score
81
40
Gemini 3.8 Flash (batch)
Rank#81#367
Gemini 3.8 Flash (batch)
Quality Rank#81#367
Gemini 3.8 Flash (batch)
Adoption Rank#81#367
Gemini 3.8 Flash (batch)
Parameters--30B--
Context Window1049K262K
Gemini 3.8 Flash (batch)
Pricing$0.38/$1.88/M$0.20/$2.40/M--
Signal Scores
Capabilities
100
83
Gemini 3.8 Flash (batch)
Pricing
98
98
Gemini 3.8 Flash (batch)
Context window size
96
86
Gemini 3.8 Flash (batch)
Recency
100
69
Gemini 3.8 Flash (batch)
Output Capacity
77
72
Gemini 3.8 Flash (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.8: 0Qwen3 VL: 0
Gemini 3.8
Qwen3 VL
Normalized 0-100%
HLE
44.52%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.8 Flash (batch)Strong Performer

Scores 81/100 (rank #81), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 VL 30B A3B ThinkingEntry Level

Scores 40/100 (rank #367), placing it in the top -26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.8 Flash (batch) has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.8 Flash (batch) when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3 VL 30B A3B Thinking when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemini 3.8 Flash (batch)Best Value
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$33.75
Qwen3 VL 30B A3B Thinking
Input cost$0.20/M tokens
Output cost$2.40/M tokens
Cost per quality point$0.065
Est. monthly (1M tokens/day)$39.00

Gemini 3.8 Flash (batch) offers 13% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with Gemini 3.8 Flash (batch) vs $39.00/month with Qwen3 VL 30B A3B Thinking - a $5.25 monthly difference.

Latency & Speed
Gemini 3.8 Flash (batch)Faster
Speed score0/100
Qwen3 VL 30B A3B Thinking
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.8 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.8 Flash (batch) also offers lower per-token costs for high-volume support

Gemini 3.8 Flash (batch)

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.8 Flash (batch)

Batch data extraction

Lower output pricing ($1.88/M) reduces costs when processing thousands of records daily

Gemini 3.8 Flash (batch)

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.8 Flash (batch)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.8 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.8 Flash (batch)

Gemini 3.8 Flash (batch) clearly outperforms Qwen3 VL 30B A3B Thinking with a significant 41-point lead. For most general use cases, Gemini 3.8 Flash (batch) is the stronger choice. However, Qwen3 VL 30B A3B Thinking may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 13% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.8 Flash (batch)Qwen3 VL 30B A3B Thinking
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.8 Flash (batch)

Google

Best Value
$2.92
estimated monthly cost

Qwen3 VL 30B A3B Thinking

Alibaba

$3.24
estimated monthly cost

Gemini 3.8 Flash (batch) saves you $0.3150/month

That's 10% cheaper than Qwen3 VL 30B A3B Thinking at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.8 Flash (batch)Qwen3 VL 30B A3B Thinking
Context Window1.0M262K
Max Output Tokens65,53632,768
Open SourceNoYes
CreatedSep 2, 2026Oct 6, 2025
Last updated: 27m ago

相关对比

Gemini 3.8 Flash (batch) vs Qwen3 VL 30B A3B Thinking (2026) | LM Market Cap