Compare · ModelsLive · 2 picked · head to head
DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 3B Instruct (free)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Llama 3.2 3B Instruct (free) wins on 4/6 benchmarks
Llama 3.2 3B Instruct (free) wins 4 of 6 shared benchmarks. Leads in general · knowledge · reasoning.
Category leads
general·Llama 3.2 3B Instruct (free)knowledge·Llama 3.2 3B Instruct (free)language·DeepSeek R1 Distill Qwen 1.5Bmath·DeepSeek R1 Distill Qwen 1.5Breasoning·Llama 3.2 3B Instruct (free)
Hype vs Reality
Attention vs performance
DeepSeek R1 Distill Qwen 1.5B
#268 by perf·no signal
Llama 3.2 3B Instruct (free)
#271 by perf·no signal
Best value
Pricing unknown
DeepSeek R1 Distill Qwen 1.5B
—
no price
Llama 3.2 3B Instruct (free)
—
$0.00/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Meta AI
$1.50T·Tier 1
Head to head
6 benchmarks · 2 models
DeepSeek R1 Distill Qwen 1.5BLlama 3.2 3B Instruct (free)
BBH (HuggingFace)
Llama 3.2 3B Instruct (free) leads by +9.5
DeepSeek R1 Distill Qwen 1.5B
4.7
Llama 3.2 3B Instruct (free)
14.2
GPQA
Llama 3.2 3B Instruct (free) leads by +1.6
DeepSeek R1 Distill Qwen 1.5B
0.8
Llama 3.2 3B Instruct (free)
2.4
IFEval
DeepSeek R1 Distill Qwen 1.5B leads by +21.3
DeepSeek R1 Distill Qwen 1.5B
34.6
Llama 3.2 3B Instruct (free)
13.4
MATH Level 5
DeepSeek R1 Distill Qwen 1.5B leads by +15.0
DeepSeek R1 Distill Qwen 1.5B
16.9
Llama 3.2 3B Instruct (free)
1.9
MMLU-PRO
Llama 3.2 3B Instruct (free) leads by +14.5
DeepSeek R1 Distill Qwen 1.5B
2.1
Llama 3.2 3B Instruct (free)
16.5
MUSR
Llama 3.2 3B Instruct (free) leads by +0.8
DeepSeek R1 Distill Qwen 1.5B
3.0
Llama 3.2 3B Instruct (free)
3.8
Full benchmark table
| Benchmark | DeepSeek R1 Distill Qwen 1.5B | Llama 3.2 3B Instruct (free) |
|---|---|---|
BBH (HuggingFace) | 4.7 | 14.2 |
GPQA | 0.8 | 2.4 |
IFEval | 34.6 | 13.4 |
MATH Level 5 | 16.9 | 1.9 |
MMLU-PRO | 2.1 | 16.5 |
MUSR | 3.0 | 3.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
| $0.00 | $0.00 | 131K tokens (~66 books) | — |