Ant GroupLing 3.0 Flash Fin
Ling 3.0 Flash Fin is an Ant Group open-weights reasoning model, released 11 Sept 2026. Its best configuration ranks #257 of 785 on the BenchLeader Index at 54.3 ±6.6, in the upper half. The ± is the point: 359 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in agents & tools (68) and lowest in reasoning (45). At $0.111 per million tokens blended it is among the cheapest fifth of ranked models. Last measured 11 Sept 2026.
- Blended price
- $0.111/M
- $0.075 in · $0.220 out
- Output speed
- –
- First answer
- –
- Context
- 262k
- Full answer
- –
- Cost per run
- –
- Released
- 11 Sept 2026
- Overall index54
- Reasoning45
- Agents & tools68
- Knowledge55
- Long context62
- Composite55
How its index has moved
19 Sept 2026 to 18 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Humanity's Last Exam (AA)not in index | 22.6%#198 | Artificial Analysis | |
| CritPt | 2.6%#189 | Artificial Analysis |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| SciCode (AA)not in index | 42.4%#160 | Artificial Analysis | |
| Terminal-Bench 4.0 (AA)not in index | 0.0%#152 | Artificial Analysis | |
| Terminal-Bench 2.1 (AA)not in index | 62.5%#89 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| GDPval-AA v2.1not in index | 30.0%#85 | Artificial Analysis | |
| τ³-Banking (AA) | 38.6%#36 | Artificial Analysis | |
| Analyst Agent (AA)not in index | 16.3%#39 | Artificial Analysis | |
| APEX-Agents (AA)not in index | 27.4%#17 | Artificial Analysis | |
| AutomationBenchnot in index | 7.4%#156 | Artificial Analysis | |
| GDP.pdf (AA)not in index | 5.4%#159 | Artificial Analysis |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-Omniscience | -14.6#218 | Artificial Analysis | |
| AA-Omniscience: accuracynot in index | 17.9%#353 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 60.5%#75 | Artificial Analysis |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR | 73.7%#173 | Artificial Analysis | |
| MLCRnot in index | 3.9%#154 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Intelligence Index v4.3.2 | 22.6#198 | Artificial Analysis |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.015 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0001 | $0.0001 | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0010 | $0.0005 | – |
| Code edit | 6,000 / 1,500 | $0.0008 | $0.0005 | – |
| Agentic coding session | 60,000 / 4,000 | $0.0054 | $0.0027 | – |
| Structured extraction | 2,000 / 200 | $0.0002 | $0.0001 | – |
More from Ant Group
See also
Questions people ask
- What are Ling 3.0 Flash Fin's benchmark scores?
- As of 24 Oct 2026, Ling 3.0 Flash Fin scores 54.3 ±6.6 on the BenchLeader Index, strongest in agents & tools (68) and weakest in reasoning (45). That rests on 5 independent benchmark results, and every score on this page links to its publisher.
- How does Ling 3.0 Flash Fin rank?
- Ling 3.0 Flash Fin is #257 of 785 ranked configurations on 24 Oct 2026. 359 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Ling 3.0 Flash Fin cost per 1M tokens?
- As of 24 Oct 2026, Ling 3.0 Flash Fin costs $0.075 per 1M input tokens and $0.220 per 1M output tokens, $0.111 blended (three input tokens per output token). The list price last changed on 23 Oct 2026.
- When was Ling 3.0 Flash Fin released?
- Ant Group released Ling 3.0 Flash Fin on 11 Sept 2026.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Ling 3.0 Flash Fin: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/ling-3-0-flash-fin.