vs
1:5
overall capability wins (0 ties across 6 scored). MiniMax M3 leads overall.
- Reasoning1:3
- Coding0:1
- Specs0:1
Verdict
MiniMax M3 leads coding (widest gap: +9.0 on SciCode); MiniMax M3 offers ~3.8x larger context (1M vs 262K).
- MiniMax M3 leads coding (widest gap: +9.0 on SciCode)
- MiniMax M3 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 M3
- $0.60
Price per 1M tokens
Full comparison
Organization
Agnes AI
MiniMax
Family
Other
Other
License
Apache 2.0
MiniMax Community
Open weights
Yes
Yes
Release
Sep 13, 2026
Jun 1, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
MiniMax
Modalities
text, image, video → text
text, image, video → text
Specs
Context window
262K
1M
Max output
-
128K
Parameters
33B
—
Pricing
Input $/1M
—
$0.30
Output $/1M
—
$1.20
Blended $/1M (3∶1)
-
$0.52
Speed
tok/s
-
80
TTFT (s)
-
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
85.0
92.9
Humanity's Last Exam
—
39.0
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
23.0
16.7
AA-LCR v1.1
68.3
83.0
CritPt
—
3.7
MMMU-Pro
—
78.6
IFBench
74.2
82.9
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
59.0
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
65.2
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
38.1
47.1
CursorBench
—
—
SWE-Rebench
—
46.4
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
1,487
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,441
| Metric | Agnes-3.0-Flash Preview | MiniMax M3 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Agnes AI | MiniMax | — |
| Family | Other | Other | — |
| License | Apache 2.0 | MiniMax Community | — |
| Open weights | Yes | Yes | — |
| Release | Sep 13, 2026 | Jun 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | MiniMax | — |
| Modalities | text, image, video → text | text, image, video → text | — |
| Specs | |||
| Context window | 262K | 1M | B +738K |
| Max output | - | 128K | — |
| Parameters | 33B | — | — |
| Pricing | |||
| Input $/1M | — | $0.30 | — |
| Output $/1M | — | $1.20 | — |
| Blended $/1M (3∶1) | - | $0.52 | — |
| Speed | |||
| tok/s | - | 80 | — |
| TTFT (s) | - | 0.35 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 85.0 | 92.9 | B +7.9 pts |
| Humanity's Last Exam | — | 39.0 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 23.0 | 16.7 | A +6.3 pts |
| AA-LCR v1.1 | 68.3 | 83.0 | B +14.7 pts |
| CritPt | — | 3.7 | — |
| MMMU-Pro | — | 78.6 | — |
| IFBench | 74.2 | 82.9 | B +8.7 pts |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | 59.0 | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 65.2 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 38.1 | 47.1 | B +9.0 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | 46.4 | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,487 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,441 | — |
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 M3
- Context
- 1M / 128K out
- Parameters
- —
- Price
- $0.30 / $1.20
- Speed
- 80 tok/s · 0.35s TTFT
- Modalities
- text, image, video → text
- License
- MiniMax Community
MiniMax June 2026 open-weight flagship — frontier coding/agentic scores with MSA 1M context and native multimodality.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.