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InclusionAIReleased September 17, 2025

Ling-flash-2.0

InclusionAI · Released September 17, 2025

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Intelligence score

10

At a glance

Intelligence
10
Speed
65.9tokens/sec
Latency
2.23stime to first token
Input price
$0.14per 1M tokens
Output price
$0.57per 1M tokens
Context window
130Ktokens
Parameters
103billions

Summary

Comparison summary

Ling-flash-2.0 scores 10 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 7). Ling-flash-2.0 generates output at 65.9 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight non-reasoning models of similar size (median: 81.5 t/s). Ling-flash-2.0 costs $0.14 per 1M input tokens (very competitive, median: $0.53) and $0.57 per 1M output tokens (very competitive, median: $1.05), based on the median across providers serving the model.

Specifications

Technical specifications

Model nameLing-flash-2.0
ProviderInclusionAI
Release dateSeptember 17, 2025
Intelligence score10
Speed65.9 tokens/sec
Latency (TTFT)2.23s
Input price$0.14 / 1M tokens
Output price$0.57 / 1M tokens
Context window130,000 tokens
Parameters103B
ReasoningNo
Input modalitiestext
Output modalities—
Open weightsYes
LicenseMIT
API availability—
SourceModel Intelligence legacy profile: ling-flash-2-0

Pricing

Token prices

Price per 1M tokens

Ling-flash-2.0, as listed in the catalog record

Input $0.14 and output $0.57 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.14
  2. Output$0.57

Model Intelligence legacy profile: ling-flash-2-0

FAQ · 20

Frequently asked questions

Ling-flash-2.0 was released on September 17, 2025.

Ling-flash-2.0 was created by InclusionAI.

Ling-flash-2.0 scores 10 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 7).

Ling-flash-2.0 generates output at 65.9 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight non-reasoning models of similar size (median: 81.5 t/s).

Ling-flash-2.0 has a time to first token (TTFT) of 2.23s (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: 1.59s).

Ling-flash-2.0 costs $0.14 per 1M input tokens (very competitive, median: $0.53) and $0.57 per 1M output tokens (very competitive, median: $1.05), based on the median across providers serving the model.

Ling-flash-2.0 costs $0.14 per 1M input tokens and $0.57 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.18 per 1M tokens. Pricing may vary by provider.

No, Ling-flash-2.0 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.

Ling-flash-2.0 supports text input.

Ling-flash-2.0 supports text output.

No, Ling-flash-2.0 does not support image input. It can only process text.

No, Ling-flash-2.0 is not multimodal. It only supports text input.

Ling-flash-2.0 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Ling-flash-2.0 is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Ling-flash-2.0 has 103 billion parameters (6.1 billion active).

Ling-flash-2.0 is a Mixture of Experts (MoE) model with 103 billion total parameters, but only 6.1 billion active parameters are used during inference.

Ling-flash-2.0 is released under the MIT license. This license allows commercial use.

Ling-flash-2.0 achieves a score of 10 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Ling-flash-2.0 is available via API through 1 provider.

Ling-flash-2.0 is available through 1 API provider.