Skip to content

Gemini 3.7 Flash (batch) vs Qwen3.8 2.4T A95B (batch)

Signal-by-Signal Comparison
SignalGemini 3.7 Flash (batch)DeltaQwen3.8 2.4T A95B (batch)
Capabilities
100
+33
67
Pricing
99
+5
94
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
77
-18
95
Overall Result
3 wins
of 5
1 wins
Gemini 3.7 Flash (batch) wins 3 of 5 signals

Score History

Score History (3 data points)
Gemini 3.7 Flash (batch)Qwen3.8 2.4T A95B (batch)
Gemini 3.7 Flash (batch)

40

current score

Leader

Tied

right now

Qwen3.8 2.4T A95B (batch)

40

current score

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

Gemini 3.7 Flash (batch)

Google

Best Value
Per request$0.000656
Daily$2.19
Monthly$65.63
Annual$787.50

Qwen3.8 2.4T A95B (batch)

Alibaba

Per request$0.005625
Daily$18.75
Monthly$562.50
Annual$6750.00

Gemini 3.7 Flash (batch) saves you $496.88/month

That's $5962.50/year compared to Qwen3.8 2.4T A95B (batch) at your current usage level of 100K calls/month.

88% cheaper
Choose Gemini 3.7 Flash (batch) for cost optimization

Gemini 3.7 Flash (batch) pricing:
Input:$0.19/M tokens
Output:$0.94/M tokens
Qwen3.8 2.4T A95B (batch) pricing:
Input:$2.50/M tokens
Output:$6.25/M tokens
Tie
Gemini 3.7 Flash (batch)

Google

40

Composite Score

Tie
Qwen3.8 2.4T A95B (batch)

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.7 Flash (batch)Qwen3.8 2.4T A95B (batch)Winner
Overall Score
40
40
--
Rank#219#222
Gemini 3.7 Flash (batch)
Quality Rank#219#222
Gemini 3.7 Flash (batch)
Adoption Rank#219#222
Gemini 3.7 Flash (batch)
Parameters--95B--
Context Window1049K1010K
Gemini 3.7 Flash (batch)
Pricing$0.19/$0.94/M$2.50/$6.25/M--
Signal Scores
Capabilities
100
67
Gemini 3.7 Flash (batch)
Pricing
99
94
Gemini 3.7 Flash (batch)
Context window size
96
95
Gemini 3.7 Flash (batch)
Recency
100
100
Gemini 3.7 Flash (batch)
Output Capacity
77
95
Qwen3.8 2.4T A95B (batch)
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 3.7 Flash (batch)Entry Level

Scores 40/100 (rank #219), placing it in the top 25% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 2.4T A95B (batch)Entry Level

Scores 40/100 (rank #222), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 3.7 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 Qwen3.8 2.4T A95B (batch) 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 3.7 Flash (batch)Best Value
Input cost$0.19/M tokens
Output cost$0.94/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$16.88
Qwen3.8 2.4T A95B (batch)
Input cost$2.50/M tokens
Output cost$6.25/M tokens
Cost per quality point$0.219
Est. monthly (1M tokens/day)$131.25

Gemini 3.7 Flash (batch) offers 87% better value per quality point. At 1M tokens/day, you'd spend $16.88/month with Gemini 3.7 Flash (batch) vs $131.25/month with Qwen3.8 2.4T A95B (batch) - a $114.38 monthly difference.

Latency & Speed
Gemini 3.7 Flash (batch)Faster
Speed score0/100
Qwen3.8 2.4T A95B (batch)
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 3.7 Flash (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.7 Flash (batch) also offers lower per-token costs for high-volume support

Gemini 3.7 Flash (batch)

Long document analysis

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

Gemini 3.7 Flash (batch)

Batch data extraction

Lower output pricing ($0.94/M) reduces costs when processing thousands of records daily

Gemini 3.7 Flash (batch)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.7 Flash (batch)

Image understanding & OCR

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

Gemini 3.7 Flash (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.7 Flash (batch)

Gemini 3.7 Flash (batch) and Qwen3.8 2.4T A95B (batch) are extremely close in overall performance (only 0 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 - 87% 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 3.7 Flash (batch)Qwen3.8 2.4T A95B (batch)
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 3.7 Flash (batch)

Google

Best Value
$1.46
estimated monthly cost

Qwen3.8 2.4T A95B (batch)

Alibaba

$12.00
estimated monthly cost

Gemini 3.7 Flash (batch) saves you $10.54/month

That's 88% cheaper than Qwen3.8 2.4T A95B (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 3.7 Flash (batch)Qwen3.8 2.4T A95B (batch)
Context Window1.0M1.0M
Max Output Tokens65,536909,000
Open SourceNoYes
CreatedAug 13, 2026Aug 12, 2026
Last updated: 27m ago

Related comparisons

Gemini 3.7 Flash (batch) vs Qwen3.8 2.4T A95B (batch) (2026) | LM Market Cap