Llama 3 Modal Instruct on IFEval: score, rank and what it means
Llama 3 Modal Instruct scores 83.7 on IFEval, placing it #219 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, with Llama 3 Modal Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Llama 3 Modal Instruct sits at #219 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 12.4 points. The median model in this index scores 81.2, which puts Llama 3 Modal Instruct above the midpoint.
Modal models average 74.2 on this benchmark. Llama 3 Modal Instruct is 9.5 points above that provider line, so it is a stronger result than the average Modal model.
Among multimodal models, the average is 85.2. Llama 3 Modal Instruct is 1.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 83.7 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $3.84 per million input tokens, Llama 3 Modal Instruct is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| ERNIE 4.0 Reasoning | Baidu | 65536 | $12.20 | 77.8 |
| Llama 3 Baseten | Baseten | 128000 | $3.62 | 74.9 |
| Gemma 3 Chat | Google DeepMind | 65536 | $3.74 | 74.5 |
| Llama 3 Hyperbolic | Hyperbolic | 65536 | $3.86 | 74.5 |
| Llama 3 Modal Instruct | Modal | 128000 | $3.84 | 75.2 |
| Llama 3 Replicate Instruct | Replicate | 128000 | $3.71 | 75.1 |
| Sonar Pro | Perplexity | 65536 | $11.25 | 77.1 |
Other benchmarks for Llama 3 Modal Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 166 | 72th | |
| GPQA Diamond | 71.9 | 221 | 63th | |
| SWE-bench Verified | 63.6 | 244 | 59th | |
| HumanEval | 79.5 | 248 | 59th | |
| MATH-500 | 81.3 | 183 | 70th | |
| AIME 2025 | 68.7 | 285 | 53th | |
| LiveCodeBench | 67.0 | 251 | 58th | |
| TruthfulQA | 78.6 | 233 | 61th | |
| HellaSwag | 83.5 | 305 | 49th | |
| MMMU | 69.2 | 323 | 46th | |
| Arena Elo | 1407.2 | 189 | 69th |
FAQ
What score does Llama 3 Modal Instruct get on IFEval?
Llama 3 Modal Instruct scores 83.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Llama 3 Modal Instruct rank on IFEval?
It ranks #219 of 600 models, in the 64th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Llama 3 Modal Instruct good at IFEval?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the IFEval score calculated?
IFEval is a instruction following benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Llama 3 Modal Instruct cost?
Llama 3 Modal Instruct costs $3.84 per million input tokens and $18.84 per million output tokens.