Ling 2.6 Flash Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Ling 2.6 Flash is amongst the leading models in intelligence, but somewhat expensive when comparing to other open weight non-reasoning models of similar size. It's also notably fast, however somewhat verbose. The model supports text input, outputs text, and has a 262k tokens context window.
Ling 2.6 Flash scores 26 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 12). When evaluating the Intelligence Index, it generated 15M tokens, which is somewhat verbose in comparison to the average of 7.9M.
Pricing for Ling 2.6 Flash is $0.10 per 1M input tokens (moderately priced, average: $0.10) and $0.30 per 1M output tokens (somewhat expensive, average: $0.20). In total, it cost $22.90 to evaluate Ling 2.6 Flash on the Intelligence Index.
At 214 tokens per second, Ling 2.6 Flash is notably fast (74).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text This information is still being updated |
| Output modality | Supports: text This information is still being updated |
| Context window | 262k ~393 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Ling 2.6 Flash API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Ling 2.6 Flash
Ling 2.6 Flash was created by InclusionAI.
Ling 2.6 Flash scores 26 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 12).
Ling 2.6 Flash generates output at 214.4 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight non-reasoning models of similar size (median: 74.0 t/s).
Ling 2.6 Flash has a time to first token (TTFT) of 2.30s (based on the median across providers serving the model), which is somewhat higher than average compared to other open weight non-reasoning models of similar size (median: 1.85s).
Ling 2.6 Flash costs $0.10 per 1M input tokens (very competitive, median: $0.25) and $0.30 per 1M output tokens (very competitive, median: $0.70), based on the median across providers serving the model.
Ling 2.6 Flash costs $0.10 per 1M input tokens and $0.30 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.15 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Ling 2.6 Flash generated 15M output tokens, which is somewhat higher than average compared to other open weight non-reasoning models of similar size (median: 7.9M).
No, Ling 2.6 Flash is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Ling 2.6 Flash supports text input.
Ling 2.6 Flash supports text output.
No, Ling 2.6 Flash does not support image input. It can only process text.
No, Ling 2.6 Flash is not multimodal. It only supports text input.
Ling 2.6 Flash has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ling 2.6 Flash is open weights. The model weights are publicly available.
Ling 2.6 Flash achieves a score of 26 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Ling 2.6 Flash is available via API through 1 provider. Compare API providers
Ling 2.6 Flash is available through 1 API provider. Compare providers