Skip to content

Gemini 3.6 Flash (batch) vs Qwen3.5-9B

vs
Qwen3.5-9B

Alibaba

67#181
Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaQwen3.5-9B
Capabilities
100
+17
83
Benchmarks
78
+12
66
Pricing
96
-4
100
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
80
-10
90
Overall Result
3 wins
of 6
2 wins
Gemini 3.6 Flash (batch) wins 3 of 6 signals

Score History

Score History (23 data points)
Gemini 3.6 Flash (batch)Qwen3.5-9B
Gemini 3.6 Flash (batch)

80

current score

Leader

Gemini 3.6 Flash (batch)

right now

Qwen3.5-9B

66.5

current score

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

Gemini 3.6 Flash (batch)

Google

Per request$0.002625
Daily$8.75
Monthly$262.50
Annual$3150.00

Qwen3.5-9B

Alibaba

Best Value
Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

Qwen3.5-9B saves you $245.00/month

That's $2940.00/year compared to Gemini 3.6 Flash (batch) at your current usage level of 100K calls/month.

93% cheaper
Choose Qwen3.5-9B for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
Qwen3.5-9B pricing:
Input:$0.10/M tokens
Output:$0.15/M tokens
Winner
Gemini 3.6 Flash (batch)

Google

80

Composite Score

Qwen3.5-9B

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)Qwen3.5-9BWinner
Overall Score
80
67
Gemini 3.6 Flash (batch)
Rank#92#181
Gemini 3.6 Flash (batch)
Quality Rank#92#181
Gemini 3.6 Flash (batch)
Adoption Rank#92#181
Gemini 3.6 Flash (batch)
Parameters--9B--
Context Window1049K262K
Gemini 3.6 Flash (batch)
Pricing$0.75/$3.75/M$0.10/$0.15/M--
Signal Scores
Capabilities
100
83
Gemini 3.6 Flash (batch)
Benchmarks
78
66
Gemini 3.6 Flash (batch)
Pricing
96
100
Qwen3.5-9B
Context window size
96
86
Gemini 3.6 Flash (batch)
Recency
100
100
Gemini 3.6 Flash (batch)
Output Capacity
80
90
Qwen3.5-9B
Benchmark Head-to-Head(2 benchmarks)
Gemini 3.6: 0Qwen3.5-9B: 0
Gemini 3.6
Qwen3.5-9B
Normalized 0-100%
MMLU-Pro
-82.5%
Arena Elo
1485-
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 3.6 Flash (batch)Strong Performer

Scores 80/100 (rank #92), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5-9BCompetitive

Scores 67/100 (rank #181), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.6 Flash (batch) has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.6 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 Qwen3.5-9B when you need:

  • High-volume production workloads where API costs must be minimized
  • 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 3.6 Flash (batch)
Input cost$0.75/M tokens
Output cost$3.75/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$67.50
Qwen3.5-9BBest Value
Input cost$0.10/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.75

Qwen3.5-9B offers 94% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with Qwen3.5-9B vs $67.50/month with Gemini 3.6 Flash (batch) - a $63.75 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
Qwen3.5-9B
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 3.6 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5-9B also offers lower per-token costs for high-volume support

Gemini 3.6 Flash (batch)

Long document analysis

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

Gemini 3.6 Flash (batch)

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Qwen3.5-9B

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.6 Flash (batch)

Image understanding & OCR

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

Gemini 3.6 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.6 Flash (batch)

Gemini 3.6 Flash (batch) clearly outperforms Qwen3.5-9B with a significant 13.5-point lead. For most general use cases, Gemini 3.6 Flash (batch) is the stronger choice. However, Qwen3.5-9B may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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

  • Choose for Cost - 94% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 Flash (batch)Qwen3.5-9B
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 3.6 Flash (batch)

Google

$5.85
estimated monthly cost

Qwen3.5-9B

Alibaba

Best Value
$0.3600
estimated monthly cost

Qwen3.5-9B saves you $5.49/month

That's 94% cheaper than Gemini 3.6 Flash (batch) 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 3.6 Flash (batch)Qwen3.5-9B
Context Window1.0M262K
Max Output Tokens65,536262,144
Open SourceNoYes
CreatedJul 21, 2026Mar 10, 2026
Last updated: 53m ago

Related comparisons

Gemini 3.6 Flash (batch) vs Qwen3.5-9B (2026) | LM Market Cap