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Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between GPT-6 Astra (OpenAI) and Ling 3.1 Flash (InclusionAI).
| Metric / Capability | GPT-6 Astra | Ling 3.1 Flash |
|---|---|---|
| Developer / Organization | OpenAI | InclusionAI |
| Release Date | 2026-09-04 | 2026-10-02 |
| Deployment / Weights | Proprietary Cloud API | Proprietary Cloud API |
| Context Window | 1.1M tokens (1,050,000 tokens) | 262K tokens (262,144 tokens) |
| Input Pricing (/1M Tokens) | $10 | $0.075 |
| Output Pricing (/1M Tokens) | $50 | $0.225 |
| Benchmark / Domain | GPT-6 Astra | Ling 3.1 Flash | Advantage |
|---|---|---|---|
Artificial Analysis Intelligence Index Composite index aggregating 10+ evaluations of general reasoning and knowledge. | 52.7% | 41.1% | GPT-6 Astra (+28%) |
Artificial Analysis Coding Index Composite index of coding and software-engineering evaluations. | 76.9% | — | — |
Artificial Analysis Agentic Index Composite index of tool-use and long-horizon agentic tasks. | 51.0% | — | — |
Artificial Analysis Coding Agent Index v2.0 Composite index of coding-agent systems (model + harness) across FrontierCode v1.1, SWE-Atlas-QnA, and Terminal-Bench v4. | 54.7% | — | — |
SWE-bench Pro Harder, contamination-resistant successor to SWE-bench spanning multiple languages. | — | 68.7% | — |
Terminal-Bench 4.0 Sandboxed command-line tasks requiring shell and file-system operation. | 57.9% | 46.0% | GPT-6 Astra (+26%) |
ARC-AGI-2 Novel visual grid puzzles requiring abstract rule induction. | 95.0% | — | — |
GPQA Diamond Graduate-level physics, chemistry, and biology questions written by domain experts. | 96.0% | — | — |
Humanity's Last Exam Expert-written questions across hundreds of disciplines designed to resist saturation. | — | 37.4% | — |
FrontierMath v2 (Tiers 1-3) Unpublished, research-level mathematics problems across Tiers 1-3. | 93.7% | — | — |
GPT-6 Astra leads across 2 evaluated benchmarks compared to 0 for Ling 3.1 Flash, showing notable advantages in Artificial Analysis Intelligence Index, Terminal-Bench 4.0.
GPT-6 Astra offers a larger context capacity of 1.1M tokens (1,050,000 tokens), compared to 262K tokens for Ling 3.1 Flash.
Ling 3.1 Flash is more economical. Input tokens cost $0.075/M tokens compared to $10/M tokens for GPT-6 Astra.
GPT-6 Astra is a proprietary cloud API. Ling 3.1 Flash is a proprietary cloud API.
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