Compare · ModelsLive · 2 picked · head to head
R1 Distill Llama 70B vs Gemini 3.1 Flash Lite
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.1 Flash Lite wins on 2/2 benchmarks
Gemini 3.1 Flash Lite wins 2 of 2 shared benchmarks. Leads in speed.
Category leads
speed·Gemini 3.1 Flash Lite
Hype vs Reality
Attention vs performance
R1 Distill Llama 70B
#264 by perf·#14 by attention
Gemini 3.1 Flash Lite
#162 by perf·#5 by attention
Best value
Gemini 3.1 Flash Lite
1.5x better value than R1 Distill Llama 70B
R1 Distill Llama 70B
34.8 pts/$
$0.80/M
Gemini 3.1 Flash Lite
50.9 pts/$
$0.88/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Google DeepMind
$4.20T·Tier 1
Head to head
2 benchmarks · 2 models
R1 Distill Llama 70BGemini 3.1 Flash Lite
Artificial Analysis · Coding Index
Gemini 3.1 Flash Lite leads by +23.3
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
R1 Distill Llama 70B
11.4
Gemini 3.1 Flash Lite
34.7
Artificial Analysis · Quality Index
Gemini 3.1 Flash Lite leads by +9.1
R1 Distill Llama 70B
15.9
Gemini 3.1 Flash Lite
25.0
Full benchmark table
| Benchmark | R1 Distill Llama 70B | Gemini 3.1 Flash Lite |
|---|---|---|
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 11.4 | 34.7 |
Artificial Analysis · Quality Index | 15.9 | 25.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.80 | $0.80 | 8K tokens (~4 books) | $8.00 | |
| $0.25 | $1.50 | 1.0M tokens (~524 books) | $5.63 |