Claude Haiku 4.5 vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 25.7. Ling 3.0 Flash Fin is 22.2x cheaper per token.
Anthropic · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to 25.7, ranking #44 overall.
In the 1 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash Fin is roughly 22.2x 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 Haiku 4.5
- you want predictable pricing at $1.00/M input and $5.00/M output
Choose Ling 3.0 Flash Fin
- overall performance matters — it scores 43.0 and ranks #44 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 22.2x 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
12 reported for Claude Haiku 4.5 · 6 for Ling 3.0 Flash Fin
Claude Haiku 4.5 outperforms in 0 benchmarks, while Ling 3.0 Flash Fin is better at 1 benchmark (Finance Agent v2).
Ling 3.0 Flash Fin significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 16.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 27.8x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Claude Haiku 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 Haiku 4.5's 200,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 4.5 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 11 months newer than Claude Haiku 4.5.
Oct 15, 2025
11 months ago
Sep 3, 2026
2 weeks ago
10mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. Ling 3.0 Flash Fin is available from DeepInfra.
Claude Haiku 4.5
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs Ling 3.0 Flash Fin.