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Ling 3.0 Tiny vs Solar Pro 4

Ling 3.0 Tiny

inclusionai

40#276
vs
Solar Pro 4

Upstage

40#274
Signal-by-Signal Comparison
SignalLing 3.0 TinyDeltaSolar Pro 4
Capabilities
67
--
67
Pricing
100
+1
99
Context window size
86
-5
91
Recency
100
--
100
Output Capacity
86
+5
82
Overall Result
2 wins
of 5
1 wins
Ling 3.0 Tiny wins 2 of 5 signals

Score History

Score History (13 data points)
Ling 3.0 TinySolar Pro 4
Ling 3.0 Tiny

40

current score

Leader

Tied

right now

Solar Pro 4

40

current score

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

Ling 3.0 Tiny

inclusionai

Best Value
Per request$0.000037
Daily$0.13
Monthly$3.75
Annual$45.00

Solar Pro 4

Upstage

Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

Ling 3.0 Tiny saves you $41.25/month

That's $495.00/year compared to Solar Pro 4 at your current usage level of 100K calls/month.

92% cheaper
Choose Ling 3.0 Tiny for cost optimization

Ling 3.0 Tiny pricing:
Input:$0.01/M tokens
Output:$0.04/M tokens
Solar Pro 4 pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
Tie
Ling 3.0 Tiny

inclusionai

40

Composite Score

Tie
Solar Pro 4

Upstage

40

Composite Score

Signal-by-Signal Comparison
MetricLing 3.0 TinySolar Pro 4Winner
Overall Score
40
40
--
Rank#276#274
Solar Pro 4
Quality Rank#276#274
Solar Pro 4
Adoption Rank#276#274
Solar Pro 4
Parameters------
Context Window262K524K
Solar Pro 4
Pricing$0.01/$0.04/M$0.15/$0.60/M--
Signal Scores
Capabilities
67
67
Ling 3.0 Tiny
Pricing
100
99
Ling 3.0 Tiny
Context window size
86
91
Solar Pro 4
Recency
100
100
Ling 3.0 Tiny
Output Capacity
86
82
Ling 3.0 Tiny
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.

Ling 3.0 TinyEntry Level

Scores 40/100 (rank #276), placing it in the top 5% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Solar Pro 4Entry Level

Scores 40/100 (rank #274), placing it in the top 6% 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 Ling 3.0 Tiny 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

Choose Solar Pro 4 when you need:

  • Processing long documents or large codebases (524K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Ling 3.0 TinyBest Value
Input cost$0.01/M tokens
Output cost$0.04/M tokens
Cost per quality point$0.002
Est. monthly (1M tokens/day)$0.90
Solar Pro 4
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$11.25

Ling 3.0 Tiny offers 92% better value per quality point. At 1M tokens/day, you'd spend $0.90/month with Ling 3.0 Tiny vs $11.25/month with Solar Pro 4 - a $10.35 monthly difference.

Latency & Speed
Ling 3.0 TinyFaster
Speed score0/100
Solar Pro 4
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

Ling 3.0 Tiny

Customer support chatbot

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

Ling 3.0 Tiny

Long document analysis

Larger context window (524K tokens) can process longer documents, contracts, and research papers in a single pass

Solar Pro 4

Batch data extraction

Lower output pricing ($0.04/M) reduces costs when processing thousands of records daily

Ling 3.0 Tiny

Creative writing & content

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

Ling 3.0 Tiny
Which Should You Choose?
Our recommendation:
Ling 3.0 Tiny

Ling 3.0 Tiny and Solar Pro 4 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.

Ling 3.0 Tiny
Recommended

by inclusionai

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 92% 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 Upstage

Consider for specialized use cases.

Capability Comparison
CapabilityLing 3.0 TinySolar Pro 4
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Ling 3.0 Tiny

inclusionai

Best Value
$0.0810
estimated monthly cost

Solar Pro 4

Upstage

$0.9900
estimated monthly cost

Ling 3.0 Tiny saves you $0.9090/month

That's 92% cheaper than Solar Pro 4 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
ParameterLing 3.0 TinySolar Pro 4
Context Window262K524K
Max Output Tokens250,000131,072
Open SourceYesNo
CreatedAug 6, 2026Aug 10, 2026
Last updated: 10m ago

相关对比

Ling 3.0 Tiny vs Solar Pro 4 (2026) | LM Market Cap