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Gemini 3.5 Flash Lite (batch) vs Ling-2.6-flash

vs
Ling-2.6-flash

inclusionai

40#277
Signal-by-Signal Comparison
SignalGemini 3.5 Flash Lite (batch)DeltaLing-2.6-flash
Capabilities
100
+50
50
Benchmarks
75
+75
0
Pricing
99
-1
100
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
80
+5
75
Overall Result
4 wins
of 6
1 wins
Gemini 3.5 Flash Lite (batch) wins 4 of 6 signals

Score History

Score History (15 data points)
Gemini 3.5 Flash Lite (batch)Ling-2.6-flash
Gemini 3.5 Flash Lite (batch)

76.9

current score

Leader

Gemini 3.5 Flash Lite (batch)

right now

Ling-2.6-flash

40

current score

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

Gemini 3.5 Flash Lite (batch)

Google

Per request$0.000775
Daily$2.58
Monthly$77.50
Annual$930.00

Ling-2.6-flash

inclusionai

Best Value
Per request$0.000025
Daily$0.08
Monthly$2.50
Annual$30.00

Ling-2.6-flash saves you $75.00/month

That's $900.00/year compared to Gemini 3.5 Flash Lite (batch) at your current usage level of 100K calls/month.

97% cheaper
Choose Ling-2.6-flash for cost optimization

Gemini 3.5 Flash Lite (batch) pricing:
Input:$0.15/M tokens
Output:$1.25/M tokens
Ling-2.6-flash pricing:
Input:$0.01/M tokens
Output:$0.03/M tokens
Winner
Gemini 3.5 Flash Lite (batch)

Google

77

Composite Score

Ling-2.6-flash

inclusionai

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.5 Flash Lite (batch)Ling-2.6-flashWinner
Overall Score
77
40
Gemini 3.5 Flash Lite (batch)
Rank#113#277
Gemini 3.5 Flash Lite (batch)
Quality Rank#113#277
Gemini 3.5 Flash Lite (batch)
Adoption Rank#113#277
Gemini 3.5 Flash Lite (batch)
Parameters------
Context Window1049K262K
Gemini 3.5 Flash Lite (batch)
Pricing$0.15/$1.25/M$0.01/$0.03/M--
Signal Scores
Capabilities
100
50
Gemini 3.5 Flash Lite (batch)
Benchmarks
75
--
Gemini 3.5 Flash Lite (batch)
Pricing
99
100
Ling-2.6-flash
Context window size
96
86
Gemini 3.5 Flash Lite (batch)
Recency
100
100
Gemini 3.5 Flash Lite (batch)
Output Capacity
80
75
Gemini 3.5 Flash Lite (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.5: 0Ling-2.6-flash: 0
Gemini 3.5
Ling-2.6-flash
Normalized 0-100%
Arena Elo
1459-
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 3.5 Flash Lite (batch)Strong Performer

Scores 77/100 (rank #113), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling-2.6-flashEntry Level

Scores 40/100 (rank #277), placing it in the top 5% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.5 Flash Lite (batch) has a 37-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 3.5 Flash Lite (batch) when you need:

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

Choose Ling-2.6-flash when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.5 Flash Lite (batch)
Input cost$0.15/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$21.00
Ling-2.6-flashBest Value
Input cost$0.01/M tokens
Output cost$0.03/M tokens
Cost per quality point$0.001
Est. monthly (1M tokens/day)$0.60

Ling-2.6-flash offers 97% better value per quality point. At 1M tokens/day, you'd spend $0.60/month with Ling-2.6-flash vs $21.00/month with Gemini 3.5 Flash Lite (batch) - a $20.40 monthly difference.

Latency & Speed
Gemini 3.5 Flash Lite (batch)Faster
Speed score0/100
Ling-2.6-flash
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 3.5 Flash Lite (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ling-2.6-flash also offers lower per-token costs for high-volume support

Gemini 3.5 Flash Lite (batch)

Long document analysis

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

Gemini 3.5 Flash Lite (batch)

Batch data extraction

Lower output pricing ($0.03/M) reduces costs when processing thousands of records daily

Ling-2.6-flash

Creative writing & content

Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.5 Flash Lite (batch)

Image understanding & OCR

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

Gemini 3.5 Flash Lite (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite (batch) clearly outperforms Ling-2.6-flash with a significant 36.900000000000006-point lead. For most general use cases, Gemini 3.5 Flash Lite (batch) is the stronger choice. However, Ling-2.6-flash 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 inclusionai

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.5 Flash Lite (batch)Ling-2.6-flash
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.5 Flash Lite (batch)

Google

$1.77
estimated monthly cost

Ling-2.6-flash

inclusionai

Best Value
$0.0540
estimated monthly cost

Ling-2.6-flash saves you $1.72/month

That's 97% cheaper than Gemini 3.5 Flash Lite (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 3.5 Flash Lite (batch)Ling-2.6-flash
Context Window1.0M262K
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedJul 21, 2026Apr 21, 2026
Last updated: 36m ago

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Gemini 3.5 Flash Lite (batch) vs Ling-2.6-flash (2026) | LM Market Cap