Ling 3.0 Flash Fin vs Mistral Large 2
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 7.5. Ling 3.0 Flash Fin is 33.3x cheaper per token.
InclusionAI · Mistral AI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 7.5, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 33.3x 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 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 33.3x 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
Choose Mistral Large 2
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 5 for Mistral Large 2
Ling 3.0 Flash Fin and Mistral Large 2don'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 33.3x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 33.3x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ling 3.0 Flash Fin has 1.0B more parameters than Mistral Large 2, making it 0.8% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Mistral Large 2's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Mistral Large 2 was released on 2024-07-24.
Ling 3.0 Flash Fin is 26 months newer than Mistral Large 2.
Sep 3, 2026
5 days ago
2.1yr newerJul 24, 2024
2.1 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. Mistral Large 2 is available from Google, Mistral AI.
Ling 3.0 Flash Fin
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Mistral Large 2.