vs
6:0
overall capability wins (0 ties across 6 scored). Agnes-3.0-Flash Preview leads overall.
- Reasoning3:0
- Coding1:0
- Specs2:0
Verdict
Agnes-3.0-Flash Preview leads coding (widest gap: +30.3 on SciCode); Agnes-3.0-Flash Preview offers ~8.0x larger context (262K vs 33K).
- Agnes-3.0-Flash Preview leads coding (widest gap: +30.3 on SciCode)
- Agnes-3.0-Flash Preview offers ~8.0x larger context (262K vs 33K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Agnes-3.0-Flash Preview
- -
- LFM2.5-8B-A1B
- $0.06
Price per 1M tokens
Full comparison
Organization
Agnes AI
Liquid AI
Family
Other
Other
License
Apache 2.0
LFM License
Open weights
Yes
Yes
Release
Sep 13, 2026
Jan 20, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
Liquid AI
Modalities
text, image, video → text
text → text
Specs
Context window
262K
33K
Max output
-
8K
Parameters
33B
8B (1B act.)
Pricing
Input $/1M
—
$0.03
Output $/1M
—
$0.12
Blended $/1M (3∶1)
-
$0.05
Speed
tok/s
-
160
TTFT (s)
-
0.18
Reasoning
MMLU-Pro
—
—
GPQA Diamond
85.0
51.3
Humanity's Last Exam
—
6.9
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
23.0
9.3
AA-LCR v1.1
68.3
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
74.2
55.6
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
38.1
7.8
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Agnes-3.0-Flash Preview | LFM2.5-8B-A1B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Agnes AI | Liquid AI | — |
| Family | Other | Other | — |
| License | Apache 2.0 | LFM License | — |
| Open weights | Yes | Yes | — |
| Release | Sep 13, 2026 | Jan 20, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | Liquid AI | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 262K | 33K | A +229K |
| Max output | - | 8K | — |
| Parameters | 33B | 8B (1B act.) | A +25 |
| Pricing | |||
| Input $/1M | — | $0.03 | — |
| Output $/1M | — | $0.12 | — |
| Blended $/1M (3∶1) | - | $0.05 | — |
| Speed | |||
| tok/s | - | 160 | — |
| TTFT (s) | - | 0.18 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 85.0 | 51.3 | A +33.8 pts |
| Humanity's Last Exam | — | 6.9 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 23.0 | 9.3 | A +13.7 pts |
| AA-LCR v1.1 | 68.3 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | 74.2 | 55.6 | A +18.6 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 38.1 | 7.8 | A +30.3 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Agnes-3.0-Flash Preview
- Context
- 262K
- Parameters
- 33B
- Price
- —
- Speed
- —
- Modalities
- text, image, video → text
- License
- Apache 2.0
Agnes AI's (Sapiens AI, Singapore) first open-weight release: a 33B-parameter hybrid-attention model (54 gated delta-rule recurrent layers alternating with 18 global-attention layers, 3:1) under Apache 2.0, with a 262K-token context window and text/image/video input. This open-weight Preview checkpoint is distinct from Agnes AI's production "Agnes 3.0 Flash" API model, which runs a different checkpoint and is not open-weight; the two should not be conflated.
LFM2.5-8B-A1B
- Context
- 33K / 8K out
- Parameters
- 8B (1B act.)
- Price
- $0.03 / $0.12
- Speed
- 160 tok/s · 0.18s TTFT
- Modalities
- text → text
- License
- LFM License
Liquid Foundation Model sparse MoE — efficient open edge/chat model from Liquid AI.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.