Cognition's SWE-2
Cognition's coding model, 64% cheaper than Fable 5.1
Details
- External ID
- 1247092
- Source
- PH
- Company
- —
- Product
- Cognition's SWE-2
- Website domain
- producthunt.com
- Launched
- Sept. 13, 2026
- Cohort
- —
- Upvotes
- 189
- Upvotes percentile
- 0.9934519991447509
- Tags
- Artificial Intelligence
- Fetched at
- Sept. 15, 2026, 1:02 a.m.
- Updated at
- Sept. 15, 2026, 1:02 a.m.
Description
SWE-2 is Cognition's new coding model, post-trained from Kimi K3 with RL that optimizes for cost and capability at the same time. It hits 50.0% on FrontierCode 1.1 Main, within a point of Fable 5.1 at 64% less, and lands within a few points of GPT-6 Astra at a quarter of the cost. Compared to SWE-1.7 it takes 58% fewer turns and costs 81% less while scoring higher. Available now in Devin Desktop and CLI.
Enrichment
- Theme
- generative AI model API gateways
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- coding foundation model for software developers
- Manually corrected
- False
Could you build this?
No Training or fine-tuning frontier-class coding models using reinforcement learning requires massive GPU compute clusters, proprietary training datasets, and world-class AI research expertise.
What it would actually take: Building a competitive coding foundation model requires post-training a strong open base model using large-scale RL environments (e.g., automated test execution, compiler feedback, multi-step code generation rollouts). It demands distributed training infrastructure (hundreds of high-end GPUs using Megatron-LM or DeepSpeed), curated problem/PR datasets, and deep ML research expertise in RL algorithms like PPO/DPO tailored to code.
Competitors
Other products that read as similar to this one — 20 launches clear the similarity bar, closest 8 shown.
Attention rank: #1 of 21 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 154 days after the earliest competitor.
- fable-jev · github · 2026-09-19 · 9 upvotes · similarity 0.40
- Edgee Codex Compressor V2 · ph · 2026-09-18 · 90 upvotes · similarity 0.38
- fable-orchestration-5.1 · github · 2026-09-09 · 9 upvotes · similarity 0.36
- Edgee Codex Compressor · ph · 2026-04-12 · 166 upvotes · similarity 0.36
- Optimize and serve models with Fable quality at half the cost · hn · 2026-07-26 · 71 upvotes · similarity 0.35
- Echo · hn · 2026-07-23 · 484 upvotes · similarity 0.35
- Command Code GOAT, $10/month for $70 of credits across 30 models · hn · 2026-08-05 · 6 upvotes · similarity 0.34
- I had Fable clone a game, it turned it into an arena combat AI trainer · hn · 2026-06-12 · 5 upvotes · similarity 0.33
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.