Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, inclusionAI: Ling-2.6-flash is more budget-friendly at $0.03/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
2 benchmarks evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (inclusionai/ling-2.6-flash). Preview until a second source matches.
Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Single model data
No latency data
$0.03 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | inclusionAI: Ling-2.6-flash | Qwen3.8 27B | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 152 tok/s | — |
| Input price | $0.01/1M | $0.45/1M | +$0.44/1M |
| Output price | $0.03/1M | $3.2/1M | +$3.17/1M |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
inclusionAI: Ling-2.6-flash is estimated to save $62.95/month ($755/year).
Need SWE-bench on both sides.
Lower output list price ($0.03/1M).
Need TTFT on both sides.
Larger window (262k).
Qwen3.8 27B is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | inclusionAI: Ling-2.6-flash | Lower output list price ($0.03/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | inclusionAI: Ling-2.6-flash | Larger window (262k). |
| Screenshots / vision | Qwen3.8 27B | Qwen3.8 27B is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
