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Ling 3.1 Flash by InclusionAI scores 68.05 overall and carries a context window of 262K tokens — observed 2026-10-23.
InclusionAI · Open Weight · rank 24 · bench-align-v5
Seven axes from the ranking source. A missing axis is drawn as a gap.
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 11.16 s | 2026-10-23 | 2026-10-23 | |
| Throughput | 215 tok/s | 2026-10-23 | 2026-10-23 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Every published price component, including cache reads and writes.
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
25 matched benchmark rows with their published value, unit, and provenance.
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| HLE Humanity's Last Exam | 37.44 | Expert-level questions | Frontier expert level | Humanity's Last Exam |
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 41.1 | Cross-benchmark intelligence index | Display-only external reference | Artificial Analysis |
| AA-HLE Artificial Analysis Humanity's Last Exam | 39.4 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index |
Lifecycle events the source associates with this model, plus what this profile does not claim.
That is not evidence the model has no lifecycle plan — only that this source published none.
| 2.2 |
| Knowledge questions |
| Broad factual knowledge |
| AA-Omniscience: Knowledge and Hallucination Benchmark |
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy | 29.1 | Knowledge questions | Broad knowledge | Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 37.9 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| HealthBench Professional HealthBench Professional | 65.3 | Clinician chat tasks | Professional clinical workflows | HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| SWE-bench Pro SWE-bench Pro | 68.74 | 1,865 repository problems | Long-horizon professional engineering | SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? |
| SWE Multilingual SWE Multilingual | 88.5 | Multilingual software-engineering tasks | Professional software engineering | MiniMax M2.7: Early Echoes of Self-Evolution |
| SWE-Atlas Codebase QnA SWE-Atlas Codebase QnA | 64.5 | 124 codebase questions across 11 repositories | Production codebase comprehension | Muse Spark 1.3 Evaluation Methodology |
| AA-SciCode Artificial Analysis SciCode | 54.1 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| DeepSWE DeepSWE | 59.7 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| AA-LCR Artificial Analysis Long Context Reasoning | 83.0 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| CritPt Critical Physics Tasks | 18.0 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| DRACO Data Research and Analysis with Complex Operations | 85.5 | Agentic data research and analysis tasks | Professional data analysis | Claude Opus 5 System Card |
| Terminal-Bench 2.1 Terminal-Bench 2.1 | 81.2 | Terminal-based software-agent tasks | Professional software engineering | Terminal-Bench |
| BrowseComp BrowseComp | 91.67 | Research questions requiring browsing | Hard web research | BrowseComp |
| GDPval-AA GDPval-AA | 1673 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 55.9 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| CyberGym CyberGym | 87.9 | 1,507 vulnerability analysis instances | Real-world cybersecurity | CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale |
| MCP Atlas MCP Atlas | 83 | Tool-integrated agent tasks | Advanced tool use | Introducing GPT-5.4 mini and nano |
| AutomationBench AutomationBench | 52.5 | 600 public automation tasks | Long-horizon automation | Kimi K3: Open Frontier Intelligence |
| τ³-bench results τ³-Bench Tool-Agent-User Evaluation | 47.8 | Corrected customer-service tasks plus knowledge and voice evaluation modes | Long-horizon, multimodal, and knowledge-aware tool use | Official τ³-bench repository and release notes |
| WideResearch WideResearch | 83.3 | Open-ended research tasks | Broad research-agent workflows | Qwen3.6 launch benchmarks |
| Finance Agent v2 Finance Agent v2 | 57.9 | Financial analyst task categories | Professional expert-task agent workflow | Finance Agent v2 |