QED Nano measured on 13 of 104 Chat & Knowledge benchmarks13
BenchmarkByScoreRank
No benchmark matches
Alternatives?
ModelScoreCostPer taskWhat changes
CheaperGPT OSS 120BunstatedOpensame-88%$0.03 / $0.15Context: 262K → 131K+1BetterGPT-5.2xhighwins 52%+863%$1.75 / $14TOpenFalcon H1R 7Bunstatedsame——Context: 262K → 256K+1CheaperGPT-5 Nanounstatedsame-73%$0.05 / $0.40
CheaperDeepSeek V3.1unstatedOpensame-15%$0.25 / $0.95Context: 262K → 128K+1ModelScoreCostPer taskWhat changes
GPT OSS 120BunstatedOpensame-88%$0.03 / $0.15Context: 262K → 131K+1GPT-5 Nanounstatedsame-73%$0.05 / $0.40DeepSeek V3.1unstatedOpensame-15%$0.25 / $0.95Context: 262K → 128K+1GPT OSS 20BunstatedOpensame-93%$0.018 / $0.09Context: 262K → 131K+1
GLM 4.5 AirunstatedOpensame-15%$0.20 / $1.10Context: 262K → 131K+2ModelScoreCostPer taskWhat changes
GPT-5.2xhighwins 52%+863%$1.75 / $14ModelScoreCostPer taskWhat changes
TFalcon H1R 7BunstatedOpensame——Context: 262K → 256K+1Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Chat & KnowledgeMathArena · AIME 202682.5#24
MathArena · AIME 202577.5#23
MathArena · Apex1.6#23
MathArena · Apex Shortlist22.3#29
MathArena · BRUMO 202587.5#18
MathArena · CMIMC 202561.9#20
MathArena · SMT 202579.7#20
FAQ
How much does QED Nano cost?›
$0.40 per 1M input tokens and $0.80 per 1M output tokens (cheapest host: Featherless).
Is QED Nano free to use?›
There is no free API; the cheapest paid price is $0.40 per 1M input tokens. The weights are open, so you can run it yourself.
How good is QED Nano, and what is it best at?›
#23 of 34 in Chat & Knowledge.
Is QED Nano better than GLM 4.5?›
On MathArena · SMT 2025, QED Nano scores 79.7 vs 82.1 — about the same.
How can I use QED Nano?›
Through the lm-provers API.
What is the context window of QED Nano?›
262K tokens.
When was QED Nano released? Is there a newer version?›
Released 2026-02-12. It is the current version in its line.
Is QED Nano open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run QED Nano locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can QED Nano read images?›
No, it accepts text only.
What is QED Nano?›
QED Nano is an open-weights language model from lm-provers, released Feb 2026.
What are the best alternatives to QED Nano?›
GPT OSS 120B (cheaper), GPT-5.2 (better), Falcon H1R 7B (open weights).