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GPT Luna Latest vs Ling 3.0 Flash VL

GPT Luna Latest

~openai

40#243
vs
Ling 3.0 Flash VL

inclusionai

40#246
Signal-by-Signal Comparison
SignalGPT Luna LatestDeltaLing 3.0 Flash VL
Capabilities
100
+17
83
Pricing
99
-1
100
Context window size
96
+14
81
Recency
100
--
100
Output Capacity
82
+9
72
Overall Result
3 wins
of 5
1 wins
GPT Luna Latest wins 3 of 5 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

GPT Luna Latest

vs

40

Ling 3.0 Flash VL

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

GPT Luna Latest

~openai

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

Ling 3.0 Flash VL

inclusionai

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

Ling 3.0 Flash VL saves you $65.00/month

That's $780.00/year compared to GPT Luna Latest at your current usage level of 100K calls/month.

81% cheaper
Choose Ling 3.0 Flash VL for cost optimization

GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Ling 3.0 Flash VL pricing:
Input:$0.06/M tokens
Output:$0.18/M tokens
Tie
GPT Luna Latest

~openai

40

Composite Score

Tie
Ling 3.0 Flash VL

inclusionai

40

Composite Score

Signal-by-Signal Comparison
MetricGPT Luna LatestLing 3.0 Flash VLWinner
Overall Score
40
40
--
Rank#243#246
GPT Luna Latest
Quality Rank#243#246
GPT Luna Latest
Adoption Rank#243#246
GPT Luna Latest
Parameters------
Context Window1050K131K
GPT Luna Latest
Pricing$0.20/$1.20/M$0.06/$0.18/M--
Signal Scores
Capabilities
100
83
GPT Luna Latest
Pricing
99
100
Ling 3.0 Flash VL
Context window size
96
81
GPT Luna Latest
Recency
100
100
GPT Luna Latest
Output Capacity
82
72
GPT Luna Latest
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.

GPT Luna LatestEntry Level

Scores 40/100 (rank #243), placing it in the top 17% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling 3.0 Flash VLEntry Level

Scores 40/100 (rank #246), placing it in the top 16% 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 GPT Luna Latest when you need:

  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Ling 3.0 Flash VL 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
GPT Luna Latest
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$21.00
Ling 3.0 Flash VLBest Value
Input cost$0.06/M tokens
Output cost$0.18/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$3.60

Ling 3.0 Flash VL offers 83% better value per quality point. At 1M tokens/day, you'd spend $3.60/month with Ling 3.0 Flash VL vs $21.00/month with GPT Luna Latest - a $17.40 monthly difference.

Latency & Speed
GPT Luna LatestFaster
Speed score0/100
Ling 3.0 Flash VL
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

GPT Luna Latest

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ling 3.0 Flash VL also offers lower per-token costs for high-volume support

GPT Luna Latest

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT Luna Latest

Batch data extraction

Lower output pricing ($0.18/M) reduces costs when processing thousands of records daily

Ling 3.0 Flash VL

Creative writing & content

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

GPT Luna Latest

Image understanding & OCR

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

GPT Luna Latest
Which Should You Choose?
Our recommendation:
GPT Luna Latest

GPT Luna Latest and Ling 3.0 Flash VL 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.

GPT Luna Latest
Recommended

by ~openai

  • 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 - 83% lower pricing; better value at scale
Capability Comparison
CapabilityGPT Luna LatestLing 3.0 Flash VL
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)

GPT Luna Latest

~openai

$1.80
estimated monthly cost

Ling 3.0 Flash VL

inclusionai

Best Value
$0.3240
estimated monthly cost

Ling 3.0 Flash VL saves you $1.48/month

That's 82% cheaper than GPT Luna Latest 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
ParameterGPT Luna LatestLing 3.0 Flash VL
Context Window1.1M131K
Max Output Tokens128,00032,768
Open SourceNoYes
CreatedSep 11, 2026Sep 10, 2026
Last updated: 53m ago

相关对比

GPT Luna Latest vs Ling 3.0 Flash VL (2026) | LM Market Cap