Gemini 3.7 Flash vs Inkling
Gemini 3.7 Flash leads the LLM Stats Score 47.6 to 37.1. Gemini 3.7 Flash is 1.1x cheaper per token.
Google · Thinking Machines Lab · Updated for 2026
Which is better?
Gemini 3.7 Flash leads the overall LLM Stats Score 47.6 to 37.1, ranking #34 overall.
In the 3 individual benchmarks reported for both models, Gemini 3.7 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.7 Flash is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.7 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.7 Flash
- overall performance matters — it scores 47.6 and ranks #34 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Inkling
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Gemini 3.7 Flash · 16 for Inkling
Gemini 3.7 Flash outperforms in 3 benchmarks (CharXiv-R, GDPval-AA, Terminal-Bench 2.1), while Inkling is better at 0 benchmarks.
Gemini 3.7 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 1.3x cheaper than Inkling ($0.95/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.1x cheaper than Inkling ($4.05/1M tokens).
In conclusion, Inkling is more expensive than Gemini 3.7 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.7 Flash accepts 1,000,000 input tokens compared to Inkling's 524,288 tokens. Gemini 3.7 Flash can generate longer responses up to 1,000,000 tokens, while Inkling is limited to 524,288 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.7 Flash and Inkling support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
Inkling
License
Usage and distribution terms
Gemini 3.7 Flash is licensed under a proprietary license, while Inkling uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.7 Flash was released on 2026-08-13, while Inkling was released on 2026-07-21.
Gemini 3.7 Flash is 1 month newer than Inkling.
Aug 13, 2026
2 months ago
3w newerJul 21, 2026
3 months ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Inkling's cutoff date is not specified.
We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Inkling's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.7 Flash is available from DeepInfra, Google. Inkling is available from DeepInfra.
Gemini 3.7 Flash
Inkling
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and Inkling side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs Inkling.