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Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between Gemini 3.8 Flash (Google DeepMind) and Ling 3.1 Flash (InclusionAI).
| Metric / Capability | Gemini 3.8 Flash | Ling 3.1 Flash |
|---|---|---|
| Developer / Organization | Google DeepMind | InclusionAI |
| Release Date | 2026-09-02 | 2026-10-02 |
| Deployment / Weights | Proprietary Cloud API | Proprietary Cloud API |
| Context Window | 1.0M tokens (1,048,576 tokens) | 262K tokens (262,144 tokens) |
| Input Pricing (/1M Tokens) | $0.825 | $0.075 |
| Output Pricing (/1M Tokens) | $4.125 | $0.225 |
| Benchmark / Domain | Gemini 3.8 Flash | Ling 3.1 Flash | Advantage |
|---|---|---|---|
Artificial Analysis Intelligence Index Composite index aggregating 10+ evaluations of general reasoning and knowledge. | 40.9% | 41.1% | Ling 3.1 Flash leads |
Artificial Analysis Coding Index Composite index of coding and software-engineering evaluations. | 76.3% | — | — |
Artificial Analysis Agentic Index Composite index of tool-use and long-horizon agentic tasks. | 40.2% | — | — |
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. | 33.3% | — | — |
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. | 19.1% | 46.0% | Ling 3.1 Flash (+141%) |
ARC-AGI-2 Novel visual grid puzzles requiring abstract rule induction. | 89.2% | — | — |
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FrontierMath v2 (Tiers 1-3) Unpublished, research-level mathematics problems across Tiers 1-3. | 68.4% | — | — |
Design Arena ELO Human-preference ELO across UI, 3D, data-visualization, and game-dev generations. | 1313 | — | — |
Ling 3.1 Flash outperforms Gemini 3.8 Flash across 2 evaluated benchmarks compared to 0 for Gemini 3.8 Flash, excelling in Artificial Analysis Intelligence Index, Terminal-Bench 4.0.
Gemini 3.8 Flash offers a larger context capacity of 1.0M tokens (1,048,576 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 $0.825/M tokens for Gemini 3.8 Flash.
Gemini 3.8 Flash is a proprietary cloud API. Ling 3.1 Flash is a proprietary cloud API.
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