vs
1:0
overall capability wins (0 ties across 1 scored). Ling-3.0 Flash Fin leads overall.
- Specs1:0
Verdict
Ling-3.0 Flash Fin offers ~2.0x larger context (262K vs 128K); Ling-3.0 Flash Fin ships open weights (MIT).
- Ling-3.0 Flash Fin offers ~2.0x larger context (262K vs 128K)
- Ling-3.0 Flash Fin ships open weights (MIT)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Ling-3.0 Flash Fin
- -
- Reka Core
- $3.50
Price per 1M tokens
Full comparison
Organization
InclusionAI
Reka
Family
Other
Other
License
MIT
Proprietary
Open weights
Yes
No
Release
Sep 3, 2026
Apr 15, 2024
Knowledge cutoff
-
-
API / provider
No primary API price listed
Reka
Modalities
text → text
text, image, video → text
Specs
Context window
262K
128K
Max output
-
4K
Parameters
124B (5.1B act.)
—
Pricing
Input $/1M
—
$2
Output $/1M
—
$6
Blended $/1M (3∶1)
-
$3
Speed
tok/s
-
70
TTFT (s)
-
0.5
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
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
—
1,288
| Metric | Ling-3.0 Flash Fin | Reka Core | Delta |
|---|---|---|---|
| Identity | |||
| Organization | InclusionAI | Reka | — |
| Family | Other | Other | — |
| License | MIT | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Sep 3, 2026 | Apr 15, 2024 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | Reka | — |
| Modalities | text → text | text, image, video → text | — |
| Specs | |||
| Context window | 262K | 128K | A +134K |
| Max output | - | 4K | — |
| Parameters | 124B (5.1B act.) | — | — |
| Pricing | |||
| Input $/1M | — | $2 | — |
| Output $/1M | — | $6 | — |
| Blended $/1M (3∶1) | - | $3 | — |
| Speed | |||
| tok/s | - | 70 | — |
| TTFT (s) | - | 0.5 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| 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 | — | 1,288 | — |
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.
Reka Core
- Context
- 128K / 4K out
- Parameters
- —
- Price
- $2 / $6
- Speed
- 70 tok/s · 0.5s TTFT
- Modalities
- text, image, video → text
- License
- Proprietary
Reka flagship multimodal model for complex reasoning over mixed media inputs.
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.