vs
0:1
overall capability wins (0 ties across 1 scored). Trinity Mini leads overall.
- Pricing0:3
- Specs0:1
Verdict
Trinity Mini offers larger context (131K vs 128K); Trinity Mini ships open weights (Apache 2.0); Trinity Mini is ~5.3x cheaper on a blended token basis than Mercury 2.
- Trinity Mini offers larger context (131K vs 128K)
- Trinity Mini ships open weights (Apache 2.0)
- Trinity Mini is ~5.3x cheaper on a blended token basis than Mercury 2
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Mercury 2
- $0.44
- Trinity Mini
- $0.08
Trinity Mini is about 5.3x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Inception Labs
Arcee AI
Family
Other
Other
License
Proprietary
Apache 2.0
Open weights
No
Yes
Release
Sep 1, 2026
Nov 4, 2025
Knowledge cutoff
-
-
API / provider
Inception Labs
Arcee AI
Modalities
text → text
text → text
Specs
Context window
128K
131K
Max output
-
8K
Parameters
—
8B
Pricing
Input $/1M
$0.25
$0.04
Output $/1M
$0.75
$0.15
Blended $/1M (3∶1)
$0.38
$0.07
Speed
tok/s
-
150
TTFT (s)
-
0.2
Reasoning
MMLU-Pro
—
—
GPQA Diamond
77.0
—
Humanity's Last Exam
17.1
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
21.2
—
AA-LCR v1.1
43.7
—
CritPt
0.8
—
MMMU-Pro
—
—
IFBench
69.8
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
27.3
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
37.7
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,167
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Mercury 2 | Trinity Mini | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Inception Labs | Arcee AI | — |
| Family | Other | Other | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Sep 1, 2026 | Nov 4, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Inception Labs | Arcee AI | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 128K | 131K | B +3K |
| Max output | - | 8K | — |
| Parameters | — | 8B | — |
| Pricing | |||
| Input $/1M | $0.25 | $0.04 | B +$0.21 |
| Output $/1M | $0.75 | $0.15 | B +$0.60 |
| Blended $/1M (3∶1) | $0.38 | $0.07 | B +$0.30 |
| Speed | |||
| tok/s | - | 150 | — |
| TTFT (s) | - | 0.2 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 77.0 | — | — |
| Humanity's Last Exam | 17.1 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 21.2 | — | — |
| AA-LCR v1.1 | 43.7 | — | — |
| CritPt | 0.8 | — | — |
| MMMU-Pro | — | — | — |
| IFBench | 69.8 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 27.3 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 37.7 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,167 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Mercury 2
- Context
- 128K
- Parameters
- —
- Price
- $0.25 / $0.75
- Speed
- —
- Modalities
- text → text
- License
- Proprietary
Inception Labs' diffusion-based (non-autoregressive) reasoning LLM, API-only with a 128K context window and high-throughput inference on Blackwell GPUs.
Trinity Mini
- Context
- 131K / 8K out
- Parameters
- 8B
- Price
- $0.04 / $0.15
- Speed
- 150 tok/s · 0.2s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Arcee's compact open instruct model tuned for enterprise merge-and-serve workflows.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.