vs
0:2
overall capability wins (0 ties across 2 scored). Ling-3.0 Flash Fin leads overall.
- Specs0:2
Verdict
Ling-3.0 Flash Fin offers ~4.0x larger context (262K vs 66K).
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Apertus 8B Instruct
- $0.15
- Ling-3.0 Flash Fin
- -
Price per 1M tokens
Full comparison
Organization
Swiss AI Initiative
InclusionAI
Family
Other
Other
License
Apache 2.0
MIT
Open weights
Yes
Yes
Release
Sep 2, 2025
Sep 3, 2026
Knowledge cutoff
-
-
API / provider
Public AI
No primary API price listed
Modalities
text → text
text → text
Specs
Context window
66K
262K
Max output
-
-
Parameters
8B
124B (5.1B act.)
Pricing
Input $/1M
$0.10
—
Output $/1M
$0.20
—
Blended $/1M (3∶1)
$0.13
-
Speed
tok/s
-
-
TTFT (s)
-
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
25.6
—
Humanity's Last Exam
5.0
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
9.7
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
22.4
—
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
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Apertus 8B Instruct | Ling-3.0 Flash Fin | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Swiss AI Initiative | InclusionAI | — |
| Family | Other | Other | — |
| License | Apache 2.0 | MIT | — |
| Open weights | Yes | Yes | — |
| Release | Sep 2, 2025 | Sep 3, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Public AI | No primary API price listed | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 66K | 262K | B +197K |
| Max output | - | - | — |
| Parameters | 8B | 124B (5.1B act.) | B +116 |
| Pricing | |||
| Input $/1M | $0.10 | — | — |
| Output $/1M | $0.20 | — | — |
| Blended $/1M (3∶1) | $0.13 | - | — |
| Speed | |||
| tok/s | - | - | — |
| TTFT (s) | - | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 25.6 | — | — |
| Humanity's Last Exam | 5.0 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 9.7 | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | 22.4 | — | — |
| 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 | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Apertus 8B Instruct
- Context
- 66K
- Parameters
- 8B
- Price
- $0.10 / $0.20
- Speed
- —
- Modalities
- text → text
- License
- Apache 2.0
Fully open, transparent Swiss LLM from EPFL, ETH Zurich, and CSCS — Apache 2.0 weights, training data, and methodology, covering 1,000+ languages.
Ling-3.0 Flash Fin
- Context
- 262K
- Parameters
- 124B (5.1B act.)
- Price
- —
- Speed
- —
- Modalities
- text → text
- License
- MIT
InclusionAI / Ant Group's finance-specialized fine-tune of Ling-3.0 Flash (124B total / 5.1B active MoE, MIT, 256K context), built with financial institutions for source-grounded financial research, multi-document analysis, valuation modeling, and spreadsheet workflows. Ant Group's model card reports evaluation on FinFIRST, FinSearchComp Verified, FinCRAFT, Finance Agent, APEX-Agents, SpreadsheetBench, and τ³-Banking without publishing numeric scores, so no benchmark values are recorded here.
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.