Model vs model
Llama 4 Maverick vs Trinity Large Thinking
Llama 4 Maverick costs 1.1× as much as Trinity Large Thinking, at $0.42 against $0.39 per 1M tokens blended, so the price gap is small. Trinity Large Thinking also scores higher on the Intelligence Index, 10.8 against 9.3, making it the stronger pick for instruction following (IFBench) and Humanity's Last Exam. Llama 4 Maverick fits better for image input and long documents, where it scores 50 on AA-LCR against 38.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
Llama 4 Maverick ranks 42nd of the 43 models with an Intelligence Index, Trinity Large Thinking 40th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Llama 4 Maverick.
Which one to pick
Pick Llama 4 Maverick if
- you care about AA-LCR (long documents): 50 vs 38
- you need to send images
Pick Trinity Large Thinking if
- you want the lower bill ($0.39 vs $0.42 per 1M tokens blended)
- you want the higher overall score (10.8 vs 9.3)
- you care about IFBench (instruction following): 56.3 vs 43
- you care about Humanity's Last Exam (hard reasoning): 15.8 vs 4.9
How smart is each one?
Of the 15 scores both models have, Trinity Large Thinking is ahead on 10 and Llama 4 Maverick on 1, and 4 are within a point.
Every intelligence score we have
Out of 100, higher is better. Llama 4 Maverick Trinity Large Thinking
Overall
Intelligence Index
9.310.8
By area
Coding
16.325.8Math
19.3Trinity Large Thinking: not scored yet
Agentic work
0.6 · 1
By field of work
Finance & accounting
910.5Legal
11.5 · 11.3Economics
1316.6Engineering
11.316.2Strategy & operations
7.6 · 6.7
Benchmarks
Hard reasoning · Humanity's Last Exam
4.915.8Science · GPQA Diamond
67.175.2Knowledge · MMLU-Pro
80.9Trinity Large Thinking: not scored yet
Competitive coding · LiveCodeBench
39.7Trinity Large Thinking: not scored yet
Scientific coding · SciCode
31.740.6Terminal tasks · Terminal-Bench 4.0
0 · 0.5Tool use · τ-Bench Banking
3.75.8Instruction following · IFBench
4356.3Long documents · AA-LCR
5038Competition math · AIME 2025
19.3Trinity Large Thinking: not scored yet
Competition math · AIME 2024
39Trinity Large Thinking: not scored yet
Math · MATH-500
88.9Trinity Large Thinking: not scored yet
The specs
| Spec | Llama 4 Maverick | Trinity Large Thinking |
|---|---|---|
| Input price | $0.24 per 1M | $0.25 per 1M |
| Output price | $0.97 per 1M | $0.80 per 1M |
| Cost per test task | Not tested | Not tested |
| Context window | 128K | 262K |
| Max output | 8K | 80K |
| Accepts | Text, Image | Text |
| Open weights | Yes | Yes |
| Lab | Meta | Arcee AI |
| Released | Apr 2025 | Apr 2026 |
| Knowledge cutoff | Aug 2024 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev.
Questions
Is Llama 4 Maverick or Trinity Large Thinking cheaper?
Trinity Large Thinking is cheaper. It charges $0.25 per 1M input tokens and $0.80 per 1M output tokens, against $0.24 and $0.97 for Llama 4 Maverick. Blended 3 parts input to 1 part output, that is $0.39 against $0.42 per 1M tokens.
Which is smarter, Llama 4 Maverick or Trinity Large Thinking?
Trinity Large Thinking scores higher on the Artificial Analysis Intelligence Index, 10.8 against 9.3 for Llama 4 Maverick. The biggest differences are on IFBench (43 vs 56.3) and AA-LCR (50 vs 38).
Which has the longer context window?
Trinity Large Thinking accepts 262K tokens, against 128K for Llama 4 Maverick.
Can I compare Llama 4 Maverick and Trinity Large Thinking on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
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Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 25, 2026.