Mercury 3 vs Mistral Small 3 24B Instruct
Mercury 3 leads the LLM Stats Score 36.1 to 3.7. Mistral Small 3 24B Instruct is 2.8x cheaper per token.
Inception · Mistral AI · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 36.1 to 3.7, ranking #98 overall.
In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3 24B Instruct is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mercury 3 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 Mercury 3
- overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mistral Small 3 24B Instruct
- cost matters — it's about 2.8x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Mercury 3 · 8 for Mistral Small 3 24B Instruct
Mercury 3 outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Instruct is better at 0 benchmarks.
Mercury 3 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, Mercury 3 ($0.10/1M tokens) is 2.0x more expensive than Mistral Small 3 24B Instruct ($0.05/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 4.4x more expensive than Mistral Small 3 24B Instruct ($0.08/1M tokens).
In conclusion, Mercury 3 is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mercury 3 accepts 1,000,000 input tokens compared to Mistral Small 3 24B Instruct's 32,768 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while Mistral Small 3 24B Instruct is limited to 32,768 tokens.
License
Usage and distribution terms
Mercury 3 is licensed under a proprietary license, while Mistral Small 3 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while Mistral Small 3 24B Instruct was released on 2025-01-30.
Mercury 3 is 21 months newer than Mistral Small 3 24B Instruct.
Oct 19, 2026
0 days ago
1.7yr newerJan 30, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Mercury 3's cutoff date is not specified.
We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Mercury 3's cutoff date.
—
Oct 2023
Provider Availability
Mercury 3 is available from Inception. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
Mercury 3
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Mistral Small 3 24B Instruct.
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