DeepSeek-V4-Flash-0731 vs LFM2.5-2.6B: Specs & Benchmark Comparison
DeepSeek-V4-Flash-0731 is developed by DeepSeek, while LFM2.5-2.6B comes from Liquid AI. DeepSeek-V4-Flash-0731 was released in July 2026, and LFM2.5-2.6B followed a month later in August 2026. DeepSeek-V4-Flash-0731 is the larger model at roughly 304 billion parameters, against 3 billion for LFM2.5-2.6B.
We have 9 benchmark results for DeepSeek-V4-Flash-0731 and 8 benchmark results for LFM2.5-2.6B, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
DeepSeek-V4-Flash-0731 is available through an API at $0.14 per million input tokens with a 1M-token context window. We do not track a hosted API for LFM2.5-2.6B, so pricing and context cannot be compared directly.
| Characteristic | DeepSeek-V4-Flash-0731 | LFM2.5-2.6B |
|---|---|---|
| Company | DeepSeek | Liquid AI |
| Release Date | July 31, 2026 | August 4, 2026 |
| Parameters | 304B | 3B |
| Multimodal | No | No |
| Context (input) | 1.0M | — |
| Context (output) | 393K | — |
| Input Price / 1M | $0.14 | — |
| Output Price / 1M | $0.28 | — |
| Average Score | 57.5% | 55.5% |
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, LFM2.5-2.6B — 0.6.
Both models were released around the same time: 7/31/2026 and 8/4/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or LFM2.5-2.6B?
Which model is cheaper — DeepSeek-V4-Flash-0731 or LFM2.5-2.6B?
Which has a larger context window — DeepSeek-V4-Flash-0731 or LFM2.5-2.6B?
The DeepSeek-V4-Flash-0731 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 DeepSeek-V4-Flash-0731 or LFM2.5-2.6B page. See also the complete list of AI model comparisons.