DeepSeek R1 Distill Llama 70B vs Mercury 2
Mercury 2 leads the LLM Stats Score 23.6 to 14.5. DeepSeek R1 Distill Llama 70B is 2.1x cheaper per token.
DeepSeek · Inception · Updated for 2026
Which is better?
Mercury 2 leads the overall LLM Stats Score 23.6 to 14.5, ranking #176 overall.
In the 2 individual benchmarks reported for both models, Mercury 2 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 2.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Mercury 2
- overall performance matters — it scores 23.6 and ranks #176 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Feb 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 6 for Mercury 2
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while Mercury 2 is better at 2 benchmarks (GPQA, LiveCodeBench).
Mercury 2 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, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 2.5x cheaper than Mercury 2 ($0.25/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.9x cheaper than Mercury 2 ($0.75/1M tokens).
In conclusion, Mercury 2 is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Mercury 2 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Mercury 2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Mercury 2 was released on 2026-02-24.
Mercury 2 is 13 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.7 years ago
Feb 24, 2026
7 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Mercury 2 is available from Inception.
DeepSeek R1 Distill Llama 70B
Mercury 2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Mercury 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Mercury 2.