Grok 4.7 vs LFM2.5-2.6B: Specs & Benchmark Comparison

Grok 4.7 is developed by xAI, while LFM2.5-2.6B comes from Liquid AI. LFM2.5-2.6B was released in August 2026, and Grok 4.7 followed a month later in September 2026. LFM2.5-2.6B has a published size of about 3 billion parameters; xAI has not disclosed the parameter count of Grok 4.7.

We have 23 benchmark results for Grok 4.7 and 8 benchmark results for LFM2.5-2.6B, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Grok 4.7 is available through an API at $2 per million input tokens with a 500K-token context window. We do not track a hosted API for LFM2.5-2.6B, so pricing and context cannot be compared directly.

CharacteristicGrok 4.7LFM2.5-2.6B
CompanyxAILiquid AI
Release DateSeptember 21, 2026August 4, 2026
Parameters—3B
MultimodalYesNo
Context (input)500K—
Input Price / 1M$2.00—
Output Price / 1M$6.00—
Average Score56.5%55.5%

Verdict

Grok 4.7 leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: Grok 4.7 — 0.6, LFM2.5-2.6B — 0.6.

Recency

Grok 4.7 is newer: released 9/21/2026 vs 8/4/2026.

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Frequently Asked Questions

Which is better for coding — Grok 4.7 or LFM2.5-2.6B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Grok 4.7 or LFM2.5-2.6B?
API pricing data is available on the individual model pages.
Which has a larger context window — Grok 4.7 or LFM2.5-2.6B?
Context window data is available on the individual model pages.

The Grok 4.7 and LFM2.5-2.6B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Grok 4.7 or LFM2.5-2.6B page. See also the complete list of AI model comparisons.