Model comparison
Llama 3.1-8B vs Nova Premier 1.0
Nova Premier 1.0 is the stronger model overall, scoring 37.7 to 22.8 on the Noometry Index. Llama 3.1-8B costs 87× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
MetaSummary
- They share 5 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Nova Premier 1.0 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nova Premier 1.0 leads 35.4 to 8.0.
- The biggest single-benchmark swing is MMLU-Pro: 40.6% for Llama 3.1-8B and 72.6% for Nova Premier 1.0.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 128K.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Nova Premier 1.0 | |
|---|---|---|
| Provider | Meta | Amazon |
| Noometry Index | 22.8 | 37.7 |
| Released | 2024-07-23 | 2025-04-30 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 4K | 10K |
| Input $ / M tokens | $0.05 | $2.50 |
| Output $ / M tokens | $0.08 | $12.50 |
| Results tracked | 43 | 6 |
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Category by category
Coding Not comparable
Llama 3.1-8B: 19.9 (#335), Nova Premier 1.0: —
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| LMArena Coding | 1195 | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.3 (#123), Nova Premier 1.0: —
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Nova Premier 1.0 leads
Llama 3.1-8B: 14.5 (#316), Nova Premier 1.0: 22.3 (#182)
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | — | 44.8% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1175 | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.48 | — |
| PIQA | 81.2% | — |
Math Nova Premier 1.0 leads
Llama 3.1-8B: 9.5 (#311), Nova Premier 1.0: 31.5 (#194)
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | 13.7% | 35% |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| LMArena Math | 1179 | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Nova Premier 1.0 leads
Llama 3.1-8B: 8.0 (#302), Nova Premier 1.0: 35.4 (#176)
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | 40.6% | 72.6% |
| GPQA (HELM) | 24.7% | 51.8% |
| GPQA Diamond | 27% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Not comparable
Llama 3.1-8B: 34.2 (#244), Nova Premier 1.0: —
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1148 | — |
| LMArena Chinese | 1151 | — |
| LMArena French | 1176 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Nova Premier 1.0 leads
Llama 3.1-8B: 59.1 (#253), Nova Premier 1.0: 66.9 (#201)
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| IFEval | 74.3% | 80.3% |
| LMArena Instruction Following | 1159 | — |
Long Context Not comparable
Llama 3.1-8B: 35.8 (#233), Nova Premier 1.0: —
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1182 | — |
Writing & Preference Nova Premier 1.0 leads
Llama 3.1-8B: 29.9 (#285), Nova Premier 1.0: 51.0 (#174)
| Benchmark | Llama 3.1-8B | Nova Premier 1.0 |
|---|---|---|
| WildBench | 68.7% | 78.8% |
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1154 | — |
| EQ-Bench Creative Writing | 713 | — |
| LMArena Multi-Turn | 1172 | — |
Frequently asked questions
Is Llama 3.1-8B better than Nova Premier 1.0?
Nova Premier 1.0 is the stronger model overall, scoring 37.7 to 22.8 on the Noometry Index. Llama 3.1-8B costs 87× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-8B or Nova Premier 1.0?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.
Which has the bigger context window?
Nova Premier 1.0 does, with 1M tokens against 128K.
How many benchmarks do Llama 3.1-8B and Nova Premier 1.0 share?
5 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Nova Premier 1.0 has 6.