Claude Sonnet 4.5 vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 32.2. Ling 3.0 Flash Fin is 66.7x cheaper per token.
Anthropic · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 32.2, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 66.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ling 3.0 Flash Fin also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Sonnet 4.5
- you want predictable pricing at $3.00/M input and $15.00/M output
Choose Ling 3.0 Flash Fin
- overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 66.7x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Claude Sonnet 4.5 · 6 for Ling 3.0 Flash Fin
Claude Sonnet 4.5 and Ling 3.0 Flash Findon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 4.5 ($3.00/1M tokens) is 50.0x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Claude Sonnet 4.5 ($15.00/1M tokens) is 83.3x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Claude Sonnet 4.5 is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Claude Sonnet 4.5's 200,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Claude Sonnet 4.5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Sonnet 4.5 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Claude Sonnet 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Sonnet 4.5
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Claude Sonnet 4.5 was released on 2025-09-29, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 11 months newer than Claude Sonnet 4.5.
Sep 29, 2025
11 months ago
Sep 3, 2026
5 days ago
11mo newerKnowledge Cutoff
When training data ends
Claude Sonnet 4.5 has a documented knowledge cutoff of 2025-01-31, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm Claude Sonnet 4.5's training data extends to 2025-01-31, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Jan 2025
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Provider Availability
Claude Sonnet 4.5 is available from Anthropic. Ling 3.0 Flash Fin is available from DeepInfra.
Claude Sonnet 4.5
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 4.5 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 4.5 vs Ling 3.0 Flash Fin.