Trinity Large Thinking vs Claude Opus 4.7
Claude Opus 4.7 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 40.7 to 10.8, and Trinity Large Thinking costs 31.3x less per output token ($0.80 vs $25.00 per million). Updated October 21, 2026; 42 benchmarks have a result for both.
Trinity Large Thinking or Claude Opus 4.7: which to pick
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for output tokens 31.3x cheaper ($0.80 vs $25.00 per million) and work measured by τ²-Bench Telecom, where it leads.
- Shared results
- 42
- Trinity Large Thinking only
- 10
- Claude Opus 4.7 only
- 61
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Web design
Design Arena: websites
No call
Only Trinity Large Thinking has a Design Arena: websites result, 1137.
Directional only
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, Claude Opus 4.7 $0.018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.7 has the number, $2.95.
Directional only
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Claude Opus 4.7 67.5 from 4 benchmarks.
- Widest category
- Coding, 40.7 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Trinity Large Thinking 1231 against Claude Opus 4.7 1560, 55.0 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Claude Opus 4.7 $25.00 per million output tokens, 31.3x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, Claude Opus 4.7 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Trinity Large Thinking | Bars | Claude Opus 4.7 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 6 | ||
| General | 0 | 19 | ||
| All shared boards | 1 | 41 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | 1558 | Claude Opus 4.7 |
| AA Coding Index | 25.8 | 73.6 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | Not measured | 85.1% | Only Claude Opus 4.7 measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.0% | Only Claude Opus 4.7 measured |
| Vibe Code Bench (Vals AI) | Not measured | 71.0% | Only Claude Opus 4.7 measured |
| Code migration (Vals AI) | Not measured | 43.9% | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 68.5% | Only Claude Opus 4.7 measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 54.5% | Claude Opus 4.7 |
| Terminal-Bench | Not measured | 80.2% | Only Claude Opus 4.7 measured |
| FrontierCode | Not measured | 38.5% | Only Claude Opus 4.7 measured |
| GSO-Bench | Not measured | 44.1% | Only Claude Opus 4.7 measured |
| WeirdML | Not measured | 76.4% | Only Claude Opus 4.7 measured |
| MirrorCode | Not measured | 31.1% | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1357 | 1519 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1362 | 1516 | Claude Opus 4.7 |
| LMArena WebDev: React | 1231 | 1560 | Claude Opus 4.7 |
| LMArena WebDev: HTML | 1240 | 1554 | Claude Opus 4.7 |
| LMArena WebDev: from an image | Not measured | 1577 | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 40.7 | Claude Opus 4.7 |
| Epoch Capabilities Index | Not measured | 156.8 | Only Claude Opus 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 38.6 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | Not measured | 51.5% | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | Not measured | 23.7% | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | Not measured | 38.5% | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 63.7% | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 90.1% | 88.6% | Trinity Large Thinking |
| APEX-Agents | Not measured | 49.2% | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | Not measured | 18.2% | Only Claude Opus 4.7 measured |
| PostTrainBench | Not measured | 28.6% | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | Not measured | $10,937 | Only Claude Opus 4.7 measured |
| LMArena Search | Not measured | 1230 | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 90.2% | Only Claude Opus 4.7 measured |
| MMMU Pro (Vals AI) | Not measured | 85.5% | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 91.4% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 42.3% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.2% | Only Claude Opus 4.7 measured |
| ARC-AGI | Not measured | 93.5% | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | Not measured | 75.8% | Only Claude Opus 4.7 measured |
| SimpleBench | Not measured | 61.7% | Only Claude Opus 4.7 measured |
| Chess puzzles | Not measured | 41.0% | Only Claude Opus 4.7 measured |
| Mystery game puzzles | Not measured | 28.0% | Only Claude Opus 4.7 measured |
| EBR-bench | Not measured | 19.0% | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1342 | 1506 | Claude Opus 4.7 |
| LMArena Text: expert | 1359 | 1521 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1356 | 1508 | Claude Opus 4.7 |
| LMArena Vision: diagrams | Not measured | 1336 | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | Not measured | 1337 | Only Claude Opus 4.7 measured |
| Kagi LLM Benchmark | Not measured | 80.7% | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 96.3% | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | Not measured | 97.8% | Only Claude Opus 4.7 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 70.2% | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | Not measured | 31.7% | Only Claude Opus 4.7 measured |
| ProofBench | Not measured | 54.0% | Only Claude Opus 4.7 measured |
| LMArena Text: math | 1365 | 1498 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1350 | 1509 | Claude Opus 4.7 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.9% | Only Claude Opus 4.7 measured |
| LegalBench (Vals AI) | Not measured | 85.3% | Only Claude Opus 4.7 measured |
| CaseLaw (Vals AI) | 57.9% | 68.4% | Claude Opus 4.7 |
| CorpFin (Vals AI) | 54.7% | 66.1% | Claude Opus 4.7 |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Claude Opus 4.7 measured |
| MortgageTax (Vals AI) | Not measured | 70.3% | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | Not measured | 54.9% | Only Claude Opus 4.7 measured |
| SimpleQA Verified | Not measured | 51.7% | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1355 | 1508 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1349 | 1495 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1345 | 1504 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1329 | 1490 | Claude Opus 4.7 |
| FACTS Benchmark Suite | Not measured | 45.5% | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: UI components | 1045 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: game dev | 1079 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: data viz | 1098 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: 3D | 1082 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: all code categories | 1117 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: SVG | 1017 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 56.1% | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | Not measured | 83.0% | Only Claude Opus 4.7 measured |
| Vals Multimodal Index | Not measured | 67.4% | Only Claude Opus 4.7 measured |
| IFBench | 56.3% | 58.6% | Claude Opus 4.7 |
| Long context reasoning (AA-LCR) | 38.0% | 78.7% | Claude Opus 4.7 |
| DTBench | Not measured | 94.7% | Only Claude Opus 4.7 measured |
| LMCA | Not measured | 52.2% | Only Claude Opus 4.7 measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| Furniture assembly | Not measured | 33.3% | Only Claude Opus 4.7 measured |
| ExploitBench | Not measured | 26.5% | Only Claude Opus 4.7 measured |
| LMArena Text | 1340 | 1490 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1326 | 1498 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1308 | 1486 | Claude Opus 4.7 |
| LMArena Vision | Not measured | 1317 | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1356 | 1496 | Claude Opus 4.7 |
| LMArena Text: non-English | 1325 | 1480 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1371 | 1531 | Claude Opus 4.7 |
| LMArena Text: German | 1356 | 1495 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1312 | 1474 | Claude Opus 4.7 |
| LMArena Text: Korean | 1306 | 1464 | Claude Opus 4.7 |
| LMArena Text: French | 1366 | 1503 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1327 | 1494 | Claude Opus 4.7 |
| LMArena Text: Russian | 1338 | 1494 | Claude Opus 4.7 |
| LMArena Text: Polish | 1312 | 1489 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1320 | 1505 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1318 | 1505 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1317 | 1492 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1296 | 1474 | Claude Opus 4.7 |
| LMArena Vision: English | Not measured | 1322 | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | Not measured | 1371 | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | Not measured | 1327 | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | Not measured | 1309 | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | Not measured | 1278 | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | Not measured | 1326 | Only Claude Opus 4.7 measured |
| LMArena Document | Not measured | 1495 | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Claude Opus 4.7 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Trinity Large Thinking costs less
Repository review
50K input + 3K output tokens
Trinity Large Thinking costs less
Agent loop
200K input + 10K output tokens
Trinity Large Thinking costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Arcee AI Trinity Large Thinking | Anthropic Claude Opus 4.7 |
|---|---|---|
| Maker | Arcee AI | Anthropic |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | April 16, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.25 | $5.00 |
| Output $/Mtok | $0.80 | $25.00 |
| Coding index | Not benchmarked | 67.5 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | $2.95 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Claude Opus 4.7 for coding?
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 31.3x cheaper ($0.80 vs $25.00 per million) and work measured by τ²-Bench Telecom, where it leads.
Which is cheaper, Trinity Large Thinking or Claude Opus 4.7?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Claude Opus 4.7 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.7 only.
Which has the bigger context window, Trinity Large Thinking or Claude Opus 4.7?
Claude Opus 4.7, with 1M tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs Claude Opus 4.7 comparison based on?
42 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Claude Opus 4.7's on 4. Where only one model has a result, the page says so instead of naming a winner.