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Gemini 3.8 Flash (batch) vs Qwen3.5 397B A17B

Signal-by-Signal Comparison
SignalGemini 3.8 Flash (batch)DeltaQwen3.5 397B A17B
Capabilities
100
+17
83
Pricing
98
+2
97
Context window size
96
+10
86
Recency
100
+7
93
Output Capacity
77
-9
86
Benchmarks
0
-80
80
Overall Result
4 wins
of 6
2 wins
Gemini 3.8 Flash (batch) wins 4 of 6 signals

Score History

Score History (32 data points)
Gemini 3.8 Flash (batch)Qwen3.5 397B A17B
Gemini 3.8 Flash (batch)

81

current score

Leader

Gemini 3.8 Flash (batch)

right now

Qwen3.5 397B A17B

79.4

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

Qwen3.5 397B A17B

Alibaba

Per request$0.002300
Daily$7.67
Monthly$230.00
Annual$2760.00

Gemini 3.8 Flash (batch) saves you $98.75/month

That's $1185.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.

43% 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
Qwen3.5 397B A17B pricing:
Input:$0.55/M tokens
Output:$3.50/M tokens
Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

Qwen3.5 397B A17B

Alibaba

79

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 Flash (batch)Qwen3.5 397B A17BWinner
Overall Score
81
79
Gemini 3.8 Flash (batch)
Rank#81#88
Gemini 3.8 Flash (batch)
Quality Rank#81#88
Gemini 3.8 Flash (batch)
Adoption Rank#81#88
Gemini 3.8 Flash (batch)
Parameters--397B--
Context Window1049K262K
Gemini 3.8 Flash (batch)
Pricing$0.38/$1.88/M$0.55/$3.50/M--
Signal Scores
Capabilities
100
83
Gemini 3.8 Flash (batch)
Pricing
98
97
Gemini 3.8 Flash (batch)
Context window size
96
86
Gemini 3.8 Flash (batch)
Recency
100
93
Gemini 3.8 Flash (batch)
Output Capacity
77
86
Qwen3.5 397B A17B
Benchmarks--
80
Qwen3.5 397B A17B
Benchmark Head-to-Head(3 benchmarks)
Gemini 3.8: 0Qwen3.5 397B: 0
Gemini 3.8
Qwen3.5 397B
Normalized 0-100%
MMLU-Pro
-87.8%
Arena Elo
-1442
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
Qwen3.5 397B A17BStrong Performer

Scores 79/100 (rank #88), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 3.8 Flash (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.5 397B A17B 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
Qwen3.5 397B A17B
Input cost$0.55/M tokens
Output cost$3.50/M tokens
Cost per quality point$0.051
Est. monthly (1M tokens/day)$60.75

Gemini 3.8 Flash (batch) offers 44% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with Gemini 3.8 Flash (batch) vs $60.75/month with Qwen3.5 397B A17B - a $27.00 monthly difference.

Latency & Speed
Gemini 3.8 Flash (batch)Faster
Speed score0/100
Qwen3.5 397B A17B
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) and Qwen3.5 397B A17B are extremely close in overall performance (only 1.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 44% 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)Qwen3.5 397B A17B
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

Qwen3.5 397B A17B

Alibaba

$5.19
estimated monthly cost

Gemini 3.8 Flash (batch) saves you $2.27/month

That's 44% cheaper than Qwen3.5 397B A17B 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)Qwen3.5 397B A17B
Context Window1.0M262K
Max Output Tokens65,536235,929
Open SourceNoYes
CreatedSep 2, 2026Feb 16, 2026
Last updated: 49m ago

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Gemini 3.8 Flash (batch) vs Qwen3.5 397B A17B (2026) | LM Market Cap