ResearchLLM Verifications Leaderboard

Data as of · 78 models, 80 questions · reviewed by Suhas Bhairav · methodology

Arcee AIReleased 1 Apr 2026

Trinity Large Thinking benchmarks, speed and API pricing

Reviewed by Suhas Bhairav · Tested

Compare

Available through OpenRouter on

  • Arcee AI$0.25 in · $0.8 out
Intelligence28.8% correct#65 of 72
Speed329tok/s#3 of 72
Cost$0.0025per question#38 of 72List $0.25 in · $0.8 out per 1M
Verbosity3,043tokens per question#64 of 72

Summary

  • Answers 23 of 80 verification questions correctly (28.8%), placing #65 of 72 models tested on the current suite.
  • Generates 329 output tokens per second, faster than 97% of the models the leaderboard measures.
  • Starts responding after 0.6 s (median time to first token), including thinking time.
  • Costs $0.0025 per question as billed, #23 cheapest of 29 models priced $0.15 to $1 per 1M tokens.

Specifications

Reasoning
Yes
Input
text
Output
text
Context window
262k tokens
Weights
—
Knowledge cutoff
—
OpenRouter ID
arcee-ai/trinity-large-thinking
Last tested
26 Oct 2026

Peer group: 31 models with a blended list price $0.15 to $1 per 1M tokens (3 input : 1 output). Charts below compare Trinity Large Thinking with all models; cost and speed charts focus on this peer group.

Intelligence

Verification score: the share of 80 questions from open datasets answered correctly. See the benchmark datasets.

Score vs. cost per question

Trinity Large Thinking circled; dashed line joins models no cheaper model beats

Most attractive quadrant0255075100$0.00001$0.0001$0.001$0.01$0.10Cost per question (USD, log) →Verification score (%) →Qwen3.8 2.4T A95BCommand AReka Flash 3Gemma 4 26B A4BGemma 4 31BQwen3.5 397B A17BHermes 4 405BMuse WonderGrok 4.7o3gpt-oss-20bGranite 4.0 MicroNova Micro 1.0Mercury 2.5Phi 4Granite 4.2 8BHy3GLM 5.3 FlashSolar Pro 4Trinity Large ThinkingMiniMax M3Mistral Large 4Claude Opus 5.5GPT-6.1 SolGemini 4 ArgonGPT-5.4GPT-6 Lunagpt-oss-120b

Score vs. end-to-end response time

Trinity Large Thinking circled · accurate and quick sits top left

Most attractive quadrant02550751000 s25 s50 s75 s100 sEnd-to-end response time (s) →Verification score (%) →Qwen3.8 2.4T A95BCommand AReka Flash 3Llama 4 ScoutGemma 4 26B A4BLing 3.1 FlashHermes 4 405BMuse WonderGranite 4.0 MicroSolar Pro 4DeepSeek V4 Pro 0813Mistral Large 4Claude Opus 5.5Llama 4 MaverickKimi K3.1 Pro

Score vs. tokens per question

Trinity Large Thinking circled · output tokens, reasoning included

Most attractive quadrant02550751001001,00010,000Output tokens per question (log) →Verification score (%) →Command AReka Flash 3Llama 4 ScoutQwen3.7 PlusGemma 4 26B A4BGemma 4 31BQwen3.5 397B A17BHermes 4 405BClaude Fable 5.1GPT-6 AstraMuse WonderGrok 4.7o3gpt-oss-20bGranite 4.0 MicroNova Micro 1.0Mercury 2.5Granite 4.2 8BMinistral 3 14B 2512Hy3GLM 5.3 FlashSolar Pro 4Qwen3.6 35B A3BInkling SmallNemotron 3 UltraClaude Opus 5.5Gemini 4 ArgonGPT-5.4GPT-6 SolMiMo-V2.6-Pro

Verification score

All models tested on the current suite

  1. 1Claude Opus 5.585.0
  2. 2Gemini 4 Argon83.8
  3. 3GPT-5.3-Codex82.5
  4. 3Gemini 3.8 Flash82.5
  5. 5Claude Fable 5.181.2
  6. 6Grok 4.780.0
  7. 7Muse Wonder78.8
  8. 7Claude Sonnet 5.578.8
  9. 9Gemini 3.1 Pro Preview77.5
  10. 9Muse Spark Open77.5
  11. 65Trinity Large Thinking28.8

61 more models · see the full leaderboard

6 of 78 tested models have no verification score

Cost

Average cost of one question, split into input, reasoning and answer tokens at each model's list price. Reasoning tokens are billed as output.

Cost per question, by token type

Peer group: blended price $0.15 to $1

  1. 1Llama 4 Scout$0.00025
  2. 2GPT-6 Luna$0.00025
  3. 3Ministral 3 8B 2512$0.00027
  4. 4Llama 3.3 70B Instruct$0.00031
  5. 5Ministral 3 14B 2512$0.00031
  6. 6GLM 5.3 Flash$0.00033
  7. 7gpt-oss-120b$0.00038
  8. 8Inkling Small$0.00047
  9. 9Claude Haiku 5.5$0.00048
  10. 10MiMo-V2.6-Flash$0.00056
  11. 11Llama 4 Maverick$0.00057
  12. 12GLM 5.3$0.00076
  13. 13DeepSeek V4.1 Flash 1017$0.00084
  14. 14MiniMax M3.1 Flash$0.0009
  15. 15DeepSeek V4 Flash Vision Exp$0.00092
  16. 16Hy3$0.0013
  17. 17Gemma 4 31B$0.0014
  18. 18Nemotron 3.5 Super VL$0.0014
  19. 19Qwen3 Coder Next$0.0017
  20. 20Solar Pro 4$0.0018
  21. 21Mistral Small 4$0.0019
  22. 22MiMo-V2.6-Pro$0.002
  23. 23Trinity Large Thinking$0.0025
  24. 24MiniMax M3$0.0027
  25. 25LongCat 2.0$0.0032
  26. 26Qwen3.7 Plus$0.0033
  27. 27Gemini 3.5 Flash Lite$0.0034
  28. 28Qwen3.6 35B A3B$0.0034
  29. 29Qwen3.8 27B$0.0049
Input Reasoning Answer

Cost per question, as billed

All models · lower is better

  1. 1Granite 4.0 Micro$0.000051
  2. 2gpt-oss-20b$0.000066
  3. 3Granite 4.2 8B$0.000077
  4. 4Nova Micro 1.0$0.000087
  5. 5Mercury 2.5$0.00011
  6. 6Phi 4$0.00012
  7. 7gpt-oss-120b$0.00013
  8. 8GLM 5.3 Flash$0.00015
  9. 9Ministral 3 3B 2512$0.00019
  10. 10GPT-6 Luna$0.00025
  11. 38Trinity Large Thinking$0.0025

61 more models · see the full leaderboard

6 of 78 tested models have no cost per question
  • LFM2.5-2.6B: no verification score (80 of 80 questions failed on the host's side)
  • Ling 3.0 Flash VL: no verification score (not yet run on the current question suite)
  • Qwen3.5-122B-A10B: no verification score (not yet run on the current question suite)
  • Qwen3 Next 80B A3B Thinking: no verification score (not yet run on the current question suite)
  • Nova Premier 1.0: no verification score (not yet run on the current question suite)
  • GPT-5.5 Pro: no verification score (not yet run on the current question suite)

Speed and latency

Median of 3 streamed runs of the same prompt, measured 25 Oct 2026.

Time to first token

Peer group ($0.15 to $1) · lower is better

  1. 1Ministral 3 8B 25120.3 s
  2. 2MiMo-V2.6-Flash0.4 s
  3. 3Qwen3.6 35B A3B0.4 s
  4. 4Qwen3 Coder Next0.4 s
  5. 5Mistral Small 40.5 s
  6. 6GLM 5.3 Flash0.5 s
  7. 7Inkling Small0.5 s
  8. 8MiniMax M30.5 s
  9. 9MiniMax M3.1 Flash0.5 s
  10. 10Qwen3.8 27B0.5 s
  11. 11gpt-oss-120b0.5 s
  12. 12Trinity Large Thinking0.6 s

17 more models · see the full leaderboard

2 of 31 tested models have no time to first token

End-to-end response time

Peer group ($0.15 to $1) · lower is better

  1. 1Nemotron 3.5 Super VL1.5 s
  2. 2Trinity Large Thinking2.7 s
  3. 3Gemini 3.5 Flash Lite2.8 s
  4. 4DeepSeek V4 Flash Vision Exp3.2 s
  5. 5GLM 5.33.4 s
  6. 6Ministral 3 8B 25123.5 s
  7. 7Inkling Small3.6 s
  8. 8Claude Haiku 5.53.9 s
  9. 9MiniMax M3.1 Flash4.2 s
  10. 10Qwen3 Coder Next4.2 s
  11. 11MiniMax M34.2 s
  12. 12GPT-6 Luna4.3 s

17 more models · see the full leaderboard

2 of 31 tested models have no end-to-end response time

Latency vs. output speed

Trinity Large Thinking circled · quick to start and fast sits top left

Most attractive quadrant02004006008000.0 s5.0 s10.0 s15.0 s20.0 sTime to first token (s) →Output speed (tok/s) →Nemotron 3.5 Super VLQwen3.5 397B A17BMuse WonderMinistral 3 3B 2512Trinity Large ThinkingGemini 3.5 Flash LiteGemini 3.1 Pro PreviewGemini 3.8 FlashGemini 4 Argon

Results by category

Questions answered correctly in each category

Science6/30
Engineering0/15
Medicine3/11
Economics6/9
Law2/6
Humanities & social science6/9

Compare Trinity Large Thinking

Head to head with its closest rivals, other Arcee AI models and the top models overall.

Hosts and prices

Every host serving this model through OpenRouter, from OpenRouter's catalogue

HostInput / 1MOutput / 1MContextMax outputQuantization
Arcee AI$0.25$0.8262k80k—

Trinity Large Thinking: frequently asked questions

How accurate is Trinity Large Thinking?
Trinity Large Thinking answered 23 of 80 questions correctly (28.8%) in the 2026-10-27 run, ranking #65 of 78 models.
How fast is Trinity Large Thinking?
Trinity Large Thinking generated a median of 329 output tokens per second in the 2026-10-27 run, ranking #3 of 78. Median time to first token was 0.6 s.
What is the latency of Trinity Large Thinking?
Trinity Large Thinking had a median time to first token of 0.6 s in the 2026-10-27 run, ranking #22 of 78 models.
How much does Trinity Large Thinking cost?
Trinity Large Thinking cost $0.0025 per question on average as billed in the 2026-10-27 run, reasoning tokens included.
What is Trinity Large Thinking API pricing?
Trinity Large Thinking is listed at $0.25 per million input tokens and $0.8 per million output tokens on OpenRouter.
What is the context window of Trinity Large Thinking?
Trinity Large Thinking accepts up to 262,144 tokens of context, according to OpenRouter's model catalogue.
Who makes Trinity Large Thinking?
Trinity Large Thinking is made by Arcee AI. The LLM Verifications Leaderboard tested it through OpenRouter using the model ID arcee-ai/trinity-large-thinking.
Where can I use Trinity Large Thinking via API?
Through OpenRouter, Trinity Large Thinking is served by 1 host: Arcee AI.