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Gemini 3.8 Flash (batch) vs Ling 3.0 Flash VL (free)

Signal-by-Signal Comparison
SignalGemini 3.8 Flash (batch)DeltaLing 3.0 Flash VL (free)
Capabilities
100
+33
67
Pricing
98
-2
100
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
77
+5
72
Overall Result
3 wins
of 5
1 wins
Gemini 3.8 Flash (batch) wins 3 of 5 signals

Score History

Score History (2 data points)
Gemini 3.8 Flash (batch)Ling 3.0 Flash VL (free)
Gemini 3.8 Flash (batch)

81

current score

Leader

Gemini 3.8 Flash (batch)

right now

Ling 3.0 Flash VL (free)

40

current score

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

Gemini 3.8 Flash (batch)

Google

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

Ling 3.0 Flash VL (free)

inclusionai

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Ling 3.0 Flash VL (free) saves you $131.25/month

That's $1575.00/year compared to Gemini 3.8 Flash (batch) at your current usage level of 100K calls/month.

100% cheaper
Choose Ling 3.0 Flash VL (free) for cost optimization

Gemini 3.8 Flash (batch) pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Ling 3.0 Flash VL (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Gemini 3.8 Flash (batch)

Google

81

Composite Score

Ling 3.0 Flash VL (free)

inclusionai

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 Flash (batch)Ling 3.0 Flash VL (free)Winner
Overall Score
81
40
Gemini 3.8 Flash (batch)
Rank#82#240
Gemini 3.8 Flash (batch)
Quality Rank#82#240
Gemini 3.8 Flash (batch)
Adoption Rank#82#240
Gemini 3.8 Flash (batch)
Parameters------
Context Window1049K262K
Gemini 3.8 Flash (batch)
Pricing$0.38/$1.88/MFree--
Signal Scores
Capabilities
100
67
Gemini 3.8 Flash (batch)
Pricing
98
100
Ling 3.0 Flash VL (free)
Context window size
96
86
Gemini 3.8 Flash (batch)
Recency
100
100
Gemini 3.8 Flash (batch)
Output Capacity
77
72
Gemini 3.8 Flash (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.8: 0Ling 3.0: 0
Gemini 3.8
Ling 3.0
Normalized 0-100%
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 #82), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling 3.0 Flash VL (free)Entry Level

Scores 40/100 (rank #240), placing it in the top 18% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.8 Flash (batch) has a 41-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 3.8 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 Ling 3.0 Flash VL (free) 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 3.8 Flash (batch)
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
Ling 3.0 Flash VL (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Gemini 3.8 Flash (batch)Faster
Speed score0/100
Ling 3.0 Flash VL (free)
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. Ling 3.0 Flash VL (free) 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 ($0.00/M) reduces costs when processing thousands of records daily

Ling 3.0 Flash VL (free)

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) clearly outperforms Ling 3.0 Flash VL (free) with a significant 41-point lead. For most general use cases, Gemini 3.8 Flash (batch) is the stronger choice. However, Ling 3.0 Flash VL (free) 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 - 100% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.8 Flash (batch)Ling 3.0 Flash VL (free)
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
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

$2.92
estimated monthly cost

Ling 3.0 Flash VL (free)

inclusionai

Best Value
$0.000000
estimated monthly cost

Ling 3.0 Flash VL (free) saves you $2.92/month

That's 100% cheaper than Gemini 3.8 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 3.8 Flash (batch)Ling 3.0 Flash VL (free)
Context Window1.0M262K
Max Output Tokens65,53632,768
Open SourceNoYes
CreatedSep 2, 2026Sep 10, 2026
Last updated: 3m ago

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Gemini 3.8 Flash (batch) vs Ling 3.0 Flash VL (free) (2026) | LM Market Cap