Compare / Trinity Large Thinking vs MiniMax M2.7
Trinity Large Thinking vs MiniMax M2.7
Which is cheaper, which is more capable, and which does better at each kind of work, from 25 results on 3 sources that measured both models.
Trinity Large Thinking or MiniMax M2.7? The short answer
- Trinity Large Thinking is cheaper: $0.39 against $0.52 per million tokens, 26% less.
- MiniMax M2.7 scores higher on the Artificial Analysis Intelligence Index: 22.8 against 10.8.
- On our business benchmarks, MiniMax M2.7 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
At a glance
| Trinity Large Thinking | MiniMax M2.7 | |
|---|---|---|
| Price per million tokens | $0.25 in · $0.80 out | $0.30 in · $1.20 out |
| Blended (3 in : 1 out) | $0.39 | $0.52 |
| Cheapest host, blended | – | $0.37 (GMICloud, FP8) |
| Intelligence Index | 10.8 | 22.8 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 344 | – |
| Context window | 262,144 tokens | 204,800 tokens |
| Weights | Open | Open |
| Developer based in | the US | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Trinity Large Thinking | MiniMax M2.7 |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 116 of 161 | 100 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 120 of 195 | 68 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 129 of 187 | 108 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 142 of 153 | 124 of 153 |
Every shared result
| Benchmark | Metric | Trinity Large Thinking | MiniMax M2.7 |
|---|---|---|---|
| Arena (formerly LMArena)reported | OverallArena rating | 1,371 | 1,422 |
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,367 | 1,423 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,332 | 1,363 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,401 | 1,452 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,357 | 1,407 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,368 | 1,415 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,343 | 1,386 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 25.8 | 52.6 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 10.8 | 22.8 |
| Artificial Analysisreported | GPQA Diamond% of questions | 75.2% | 87.4% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 15.8% | 29.6% |
| Artificial Analysisreported | IFBench% of instructions | 56.3% | 75.7% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 38.0% | 78.3% |
| Artificial Analysisreported | SciCode% of problems | 40.6% | 50.1% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 20.6% | 55.4% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.5% | 0.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 22.7% | 39.4% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 5.8% | 9.9% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 90.1% | 84.8% |
| OpenHands Indexreported | Average% resolved | 32.1% | 43.4% |
| OpenHands Indexreported | Front end (SWE-Bench Multimodal)% resolved | 25.0% | 27.9% |
| OpenHands Indexreported | Greenfield (Commit0)% resolved | 12.5% | 18.8% |
| OpenHands Indexreported | Information gathering (GAIA)% resolved | 32.7% | 25.5% |
| OpenHands Indexreported | Issue resolution (SWE-Bench)% resolved | 56.8% | 75.6% |
| OpenHands Indexreported | Testing (SWT-Bench)% resolved | 33.3% | 69.1% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Trinity Large Thinking better than MiniMax M2.7?
It depends on the task. Among models available today, on our benchmarks and licensed sources, MiniMax M2.7 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Which is cheaper, Trinity Large Thinking or MiniMax M2.7?
Trinity Large Thinking costs $0.39 per million tokens (three input to one output), against $0.52 for MiniMax M2.7.
Run Trinity Large Thinking and MiniMax M2.7 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.