Ling 3.0 Flash Fin vs Llama 4 Maverick
Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 14.7. Ling 3.0 Flash Fin is 3.1x cheaper per token.
InclusionAI · Meta · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to 14.7, ranking #41 overall.
On price, Ling 3.0 Flash Fin is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 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 Ling 3.0 Flash Fin
- overall performance matters — it scores 43.2 and ranks #41 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 3.1x cheaper per token
- you want the most recent training data — it shipped Sep 2026
Choose Llama 4 Maverick
- you process long inputs — it offers a 1,000,000 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 13 for Llama 4 Maverick
Ling 3.0 Flash Fin and Llama 4 Maverickdon'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, Ling 3.0 Flash Fin ($0.06/1M tokens) is 2.8x cheaper than Llama 4 Maverick ($0.17/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 3.3x cheaper than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, Llama 4 Maverick is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 276.0B more parameters than Ling 3.0 Flash Fin, making it 222.6% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Maverick supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.0 Flash Fin
Llama 4 Maverick
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Llama 4 Maverick was released on 2025-04-05.
Ling 3.0 Flash Fin is 17 months newer than Llama 4 Maverick.
Sep 3, 2026
1 weeks ago
1.4yr newerApr 5, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ling 3.0 Flash Fin is available from DeepInfra. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
Ling 3.0 Flash Fin
Llama 4 Maverick
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Llama 4 Maverick side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Llama 4 Maverick.