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Gemini 3.6 Flash (batch) vs Qwen3.7 Max

vs
Qwen3.7 Max

Alibaba

75#120
Signal-by-Signal Comparison
SignalGemini 3.6 Flash (batch)DeltaQwen3.7 Max
Capabilities
100
+33
67
Pricing
98
+3
96
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
3 wins
of 5
1 wins
Gemini 3.6 Flash (batch) wins 3 of 5 signals

Score History

Score History (14 data points)
Gemini 3.6 Flash (batch)Qwen3.7 Max
Gemini 3.6 Flash (batch)

40

current score

Leader

Qwen3.7 Max

right now

Qwen3.7 Max

74.8

current score

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

Gemini 3.6 Flash (batch)

Google

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

Qwen3.7 Max

Alibaba

Per request$0.003688
Daily$12.29
Monthly$368.75
Annual$4425.00

Gemini 3.6 Flash (batch) saves you $237.50/month

That's $2850.00/year compared to Qwen3.7 Max at your current usage level of 100K calls/month.

64% cheaper
Choose Gemini 3.6 Flash (batch) for cost optimization

Gemini 3.6 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Qwen3.7 Max pricing:
Input:$1.48/M tokens
Output:$4.42/M tokens
Gemini 3.6 Flash (batch)

Google

40

Composite Score

Winner
Qwen3.7 Max

Alibaba

75

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 Flash (batch)Qwen3.7 MaxWinner
Overall Score
40
75
Qwen3.7 Max
Rank#262#120
Qwen3.7 Max
Quality Rank#262#120
Qwen3.7 Max
Adoption Rank#262#120
Qwen3.7 Max
Parameters------
Context Window1049K1000K
Gemini 3.6 Flash (batch)
Pricing$0.38/$1.88/M$1.48/$4.42/M--
Signal Scores
Capabilities
100
67
Gemini 3.6 Flash (batch)
Pricing
98
96
Gemini 3.6 Flash (batch)
Context window size
96
95
Gemini 3.6 Flash (batch)
Recency
100
100
Gemini 3.6 Flash (batch)
Output Capacity
80
85
Qwen3.7 Max
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)Entry Level

Scores 40/100 (rank #262), placing it in the top 10% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.7 MaxStrong Performer

Scores 75/100 (rank #120), placing it in the top 59% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Qwen3.7 Max has a 35-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 3.6 Flash (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.7 Max when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.6 Flash (batch)Best Value
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$33.75
Qwen3.7 Max
Input cost$1.48/M tokens
Output cost$4.42/M tokens
Cost per quality point$0.079
Est. monthly (1M tokens/day)$88.50

Gemini 3.6 Flash (batch) offers 62% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with Gemini 3.6 Flash (batch) vs $88.50/month with Qwen3.7 Max - a $54.75 monthly difference.

Latency & Speed
Gemini 3.6 Flash (batch)Faster
Speed score0/100
Qwen3.7 Max
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. Gemini 3.6 Flash (batch) 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 ($1.88/M) reduces costs when processing thousands of records daily

Gemini 3.6 Flash (batch)

Creative writing & content

Higher overall composite score (75/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.7 Max

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:
Qwen3.7 Max

Qwen3.7 Max clearly outperforms Gemini 3.6 Flash (batch) with a significant 34.8-point lead. For most general use cases, Qwen3.7 Max is the stronger choice. However, Gemini 3.6 Flash (batch) may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 62% 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
Qwen3.7 Max
Recommended

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.6 Flash (batch)Qwen3.7 Max
Vision (Image Input)differs
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

Best Value
$2.92
estimated monthly cost

Qwen3.7 Max

Alibaba

$7.96
estimated monthly cost

Gemini 3.6 Flash (batch) saves you $5.04/month

That's 63% cheaper than Qwen3.7 Max 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)Qwen3.7 Max
Context Window1.0M1M
Max Output Tokens65,536131,072
Open SourceNoNo
CreatedJul 21, 2026May 21, 2026
Last updated: 20m ago

相关对比

Gemini 3.6 Flash (batch) vs Qwen3.7 Max (2026) | LM Market Cap