vs
2:4
overall capability wins (0 ties across 6 scored). MiniMax M2.5 leads overall.
- Reasoning2:2
- Coding0:1
- Specs0:1
Verdict
MiniMax M2.5 leads coding (widest gap: +4.5 on SciCode); MiniMax M2.5 offers ~3.8x larger context (1M vs 262K).
- MiniMax M2.5 leads coding (widest gap: +4.5 on SciCode)
- MiniMax M2.5 offers ~3.8x larger context (1M vs 262K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Agnes-3.0-Flash Preview
- -
- MiniMax M2.5
- $0.60
Price per 1M tokens
Full comparison
Organization
Agnes AI
MiniMax
Family
Other
Other
License
Apache 2.0
Modified MIT
Open weights
Yes
Yes
Release
Sep 13, 2026
Feb 15, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
MiniMax
Modalities
text, image, video → text
text → text
Specs
Context window
262K
1M
Max output
-
64K
Parameters
33B
—
Pricing
Input $/1M
—
$0.30
Output $/1M
—
$1.20
Blended $/1M (3∶1)
-
$0.52
Speed
tok/s
-
85
TTFT (s)
-
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
85.0
84.8
Humanity's Last Exam
—
20.5
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
23.0
26.2
AA-LCR v1.1
68.3
73.3
CritPt
—
1.1
MMMU-Pro
—
—
IFBench
74.2
71.6
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
75.8
SWE-bench Pro
—
—
SWE-bench Multilingual
—
68.3
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
38.1
42.6
CursorBench
—
—
SWE-Rebench
—
47.7
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
1,384
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,390
| Metric | Agnes-3.0-Flash Preview | MiniMax M2.5 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Agnes AI | MiniMax | — |
| Family | Other | Other | — |
| License | Apache 2.0 | Modified MIT | — |
| Open weights | Yes | Yes | — |
| Release | Sep 13, 2026 | Feb 15, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | MiniMax | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 262K | 1M | B +738K |
| Max output | - | 64K | — |
| Parameters | 33B | — | — |
| Pricing | |||
| Input $/1M | — | $0.30 | — |
| Output $/1M | — | $1.20 | — |
| Blended $/1M (3∶1) | - | $0.52 | — |
| Speed | |||
| tok/s | - | 85 | — |
| TTFT (s) | - | 0.35 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 85.0 | 84.8 | A +0.3 pts |
| Humanity's Last Exam | — | 20.5 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 23.0 | 26.2 | B +3.2 pts |
| AA-LCR v1.1 | 68.3 | 73.3 | B +5.0 pts |
| CritPt | — | 1.1 | — |
| MMMU-Pro | — | — | — |
| IFBench | 74.2 | 71.6 | A +2.6 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | 75.8 | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | 68.3 | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 38.1 | 42.6 | B +4.5 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | 47.7 | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,384 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,390 | — |
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.
MiniMax M2.5
- Context
- 1M / 64K out
- Parameters
- —
- Price
- $0.30 / $1.20
- Speed
- 85 tok/s · 0.35s TTFT
- Modalities
- text → text
- License
- Modified MIT
Open-ish MiniMax MoE with long context and competitive Chinese-market pricing.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.