Skip to main content

InclusionAILanguage modelOpen weights

Ling-3.0-flash-Fin

Ling-3.0-flash-Fin has no overall index value yet because there are too few independent benchmark results.

PopularityRank 670 of 875

0out of 100same as last month

Summary

Ling-3.0-flash-Fin is InclusionAI’s first finance-specialized model in the Ling series, according to the company. It builds on Ling 3.0 Flash with continued training on financial data. Its focus includes reconciling reporting periods and figures, valuation models, and spreadsheet formulas.

The MoE checkpoint activates 5.1 of its 124 billion parameters per token and handles 256K context tokens. InclusionAI releases it under MIT, with access locally and through OpenRouter.

See for yourself: one prompt, one attempt

We show the latest attempt without fixes; it does not count toward the overall index.

Ling-3.0-flash-Fin: Pelican on a bicycle
A community classic for free-form SVG drawing.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Oct 5, 2026 · 35 s · $0.0008

Test details
Run date
Oct 5, 2026
API provider
openrouter
Requested API model
inclusionai/ling-3.0-flash-fin
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
6,321 tokens
Cost of the attempt
$0.0008
Response time
35.1 s
API model reported in response
inclusionai/ling-3.0-flash-fin
Pinned endpoint
Novita | inclusionai/ling-3.0-flash-fin-20260827
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Task origin: Simon Willison
SVG short test

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

Ling-3.0-flash-Fin

Unavailable in this round

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 22 published benchmark results

Page 1 of 2

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

AA-AnalystAgent: Overall (Show measurement, test conditions, and source)
Source value
16.25
Score
16.25
Metric
pass^5 reliability
Unit
%
Benchmark version
AA cohort: 80 questions
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup analyst agent. Tool policy: 100-turn cap; Python sandbox with source files, URL fetch, image viewing, and answer submission. Attempts: pass^5, 5 independent attempts per question. Reasoning: reasoning enabled. Score display: 16.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-aa-analyst-agent:AA cohort: 80 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts.. Harness: Artificial Analysis Stirrup. Agent: Stirrup analyst agent. Tool policy: 100-turn cap; Python sandbox with source files, URL fetch, image viewing, and answer submission. Attempts: pass^5, 5 independent attempts per question. Reasoning: reasoning enabled
Context
Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1.. This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
AA-AnalystAgent: Overall (Show measurement, test conditions, and source)
Source value
16.25
Score
16.25
Metric
pass^5 reliability
Unit
%
Benchmark version
AA cohort: 80 questions
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-06
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup analyst agent. Tool policy: 100-turn cap; Python sandbox with source files, URL fetch, image viewing, and answer submission. Attempts: pass^5, 5 independent attempts per question. Reasoning: reasoning enabled. Score display: 16.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-aa-analyst-agent:AA cohort: 80 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts.. Harness: Artificial Analysis Stirrup. Agent: Stirrup analyst agent. Tool policy: 100-turn cap; Python sandbox with source files, URL fetch, image viewing, and answer submission. Attempts: pass^5, 5 independent attempts per question. Reasoning: reasoning enabled
Context
Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1.
Source Artificial Analysis
APEX-Agents-AA: Overall (Show measurement, test conditions, and source)
Source value
27.433628318584102
Score
27.433628318584102
Metric
Pass@1 success rate
Unit
%
Benchmark version
AA public cohort: 452 tasks
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: 200-turn cap; MCP-backed workplace tools in Archipelago. Attempts: pass@1, averaged over 3 repeats per task. Reasoning: reasoning enabled. Score display: 27.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-apex-agents-aa:AA public cohort: 452 tasks:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: 200-turn cap; MCP-backed workplace tools in Archipelago. Attempts: pass@1, averaged over 3 repeats per task. Reasoning: reasoning enabled
Context
Two Investment Banking worlds are excluded because they depend on external runtime APIs.. This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
APEX-Agents-AA: Overall (Show measurement, test conditions, and source)
Source value
27.433628318584102
Score
27.433628318584102
Metric
Pass@1 success rate
Unit
%
Benchmark version
AA public cohort: 452 tasks
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-06
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: 200-turn cap; MCP-backed workplace tools in Archipelago. Attempts: pass@1, averaged over 3 repeats per task. Reasoning: reasoning enabled. Score display: 27.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-apex-agents-aa:AA public cohort: 452 tasks:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: 200-turn cap; MCP-backed workplace tools in Archipelago. Attempts: pass@1, averaged over 3 repeats per task. Reasoning: reasoning enabled
Context
Two Investment Banking worlds are excluded because they depend on external runtime APIs.
Source Artificial Analysis
CritPt v2: Overall (Show measurement, test conditions, and source)
Source value
2.57142857142857
Score
2.57142857142857
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
disputed
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 2.6%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context
This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
Source Artificial Analysis
Ling-Fin Eval (Show measurement, test conditions, and source)
Source value
18.6
Score
18.6
Metric
silent empty-response rate in the financial research report-writing task
Unit
%
Direction
No direction published
Sample
43
Source type
independent-evaluator
Evaluator
MKE258 Ling-Fin Eval
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Financial model Ling-3.0-flash-Fin, raw-results route inclusionai/ling-3.0-flash-fin:free; same 124B total / 5.1B active architecture, source materials, temperature=1 and top_p=0.95 as the base model; financial training is stated as the only variable. Task-specific prompt details and exact immutable evaluator revision are not stated in the captured README.
Context
The evaluator states this repository accompanies a paid-sponsored evaluation, while methods, data, and conclusions were produced independently by the author. This is author-published evaluator work, not peer-reviewed verification; the captured GitHub master view is mutable and its exact repository commit was not exposed in the retained page.
Source MKE258 Ling-Fin Eval
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
1107.96
Score
1107.96
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
1108.4
Score
1108.4
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-10-29
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-29-5a1b1cf41cd1. Source payload hash: 5a1b1cf41cd14d4fa7e1b5c737732505ff7f014395c8a19ff9385c13df09b106. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-10-29. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
1107.96
Score
1107.96
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-06
Methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/6d6fa1c9-b833-40b2-8a58-fa810e24a84e/ling-3-0-flash-fin/ling-3-0-flash-fin. Source model name: Ling-3.0-flash-Fin. Provider reported by source: InclusionAI. Model snapshot: Ling-3.0-flash-Fin. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Ling-3.0-flash-Fin (release ling-3-0-flash-fin, row ling-3-0-flash-fin, UUID 6d6fa1c9-b833-40b2-8a58-fa810e24a84e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Source Artificial Analysis
FinFIRST (Show measurement, test conditions, and source)
Source value
52.85
Score
52.85
Metric
FinFIRST reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Official image-only table, visually inspected. ReAct/Web Search/Visit/Python and Claude Code spreadsheet harnesses; highest reasoning tier, mixed external and own evaluations.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
FinSearchComp Verified (Show measurement, test conditions, and source)
Source value
77.04
Score
77.04
Metric
FinSearchComp Verified reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Official image-only table, visually inspected. ReAct/Web Search/Visit/Python and Claude Code spreadsheet harnesses; highest reasoning tier, mixed external and own evaluations.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
FinCRAFT (Show measurement, test conditions, and source)
Source value
51.74
Score
51.74
Metric
FinCRAFT reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Official image-only table, visually inspected. ReAct/Web Search/Visit/Python and Claude Code spreadsheet harnesses; highest reasoning tier, mixed external and own evaluations.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card

Page 1 of 2

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

Gemini 4 Argon92
GPT-6 Astra78
Claude Haiku 5.577
Qwen3.5 4B76
GPT-573
GPT-6 Sol72
Qwen3.5 0.8B72
Qwen3.5 2B71
Qwen 3.8 27B70
Claude Opus 5.570
DeepSeek V4.1 Flash 101768
Qwen 3.8 Max 090268
Kimi K368
DeepSeek-V4-Flash65
GPT-5.6 Terra64
Claude Sonnet 563
DiffusionGemma 26B A4B IT63
Claude Opus 562
Qwen 3.8 Flash62
Ling-3.0-flash-Fin0

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Ling-3.0-flash-FinAgnes 3.0 FlashAion 3.5Aion 3.5 MiniEmber-1

All specifications

Architecture

Model class
Finance-specialized language model
Source: Model class
Parameters
124 billion total, 5.1 billion active
Source: Parameters
Architecture
Ling-3.0-flash architecture with a mixture of experts
Source: Architecture

Input and output

Context window
256K tokens according to the model card
Source: Context window
Input
Text and financial documents
Source: Input

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Access
OpenRouter and local deployment
Source: Access
License
MIT
Source: License

API

Model ID
inclusionAI/Ling-3.0-flash-Fin
Source: Model ID

Prices

No InclusionAI subscription includes this model. Through other providers from €6.83 a month (Poe Basic, with limited points). 5 plans in Germany.

PlanMonthly priceNote
Poe Basic€6.83with limited credit
Poe Plus€27.36with limited credit
Poe Pro€68.41with limited credit
Poe Advanced€136.84with limited credit
Poe Max€342.11with limited credit

All plans in the AI subscription comparison

Frequently asked questions about Ling-3.0-flash-Fin

Can I run Ling-3.0-flash-Fin locally?

Yes, the weights are open. With 124B parameters it needs a lot of memory, more a server than a laptop.

Stated by InclusionAI

Open weights
yes
License
MIT
Parameters
124B
active per token
5.1B

Where can I use Ling-3.0-flash-Fin?

Not in a InclusionAI subscription. Including other providers that makes 5 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At InclusionAI

No InclusionAI subscription includes this model.

Through other providers

5 plans from 1 provider, from €6.83 a month (Poe Basic), with limited credits.

Sources and data date

Show all 19 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

EvaluatorTest seriesComposite indicesRecorded active measurements
Artificial Analysis325

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Research statusResearch date October 4, 2026. 7 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published

sample-count-and-confidence-interval

Original wording

AA publishes neither a per-profile total executed N nor a confidence interval for either aggregate score. No component task count is substituted for per-profile N.

Unresolved

immutable-model-revision-and-reasoning-effort

Original wording

The profile names a weights repository but does not pin a commit, immutable serving revision, or exact model-side reasoning effort.

Additional sourceLing-3.0-flash-Fin model card (retrieved October 3, 2026; October 4, 2026) · Ling-3.0-flash-Fin model card · Editorial description reviewed October 4, 2026
Additional sourceLing-3.0-flash-VL model card (retrieved October 3, 2026) · Ling-3.0-flash-VL model card · Editorial description reviewed October 4, 2026
Additional sourceLing-3.0-flash base model card (retrieved October 3, 2026) · Ling-3.0-flash base model card · Editorial description reviewed October 4, 2026
Additional sourceArtificial Analysis (retrieved November 2, 2026; November 6, 2026)12
Additional sourceArtificial Analysis (retrieved November 2, 2026)
Additional sourceArtificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026)
Additional sourceArtificial Analysis, ling 3 0 flash fin model page (retrieved October 17, 2026)
Additional sourceLing-3.0-flash-Fin official model card, quantized-model table (retrieved October 17, 2026)
Additional sourceMKE258 Ling-Fin Eval (retrieved October 18, 2026)
Additional sourceModel metadata (retrieved October 17, 2026)12
Additional sourceModel metadata (retrieved October 18, 2026)
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0