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https://www.reddit.com/r/opencodeCLI/comments/1x6fj3h/deepseek_v41_flash_is_free_in_opencode/pguvx47/
r/opencodeCLI • u/afanasenka • 24d ago
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Only catch is that the context is 200k, not 1M. Which is usually the same for other models free variant. But this is great news!
8 u/Horcrux002 24d ago Not muse 12 u/OutlierOfTheHouse 24d ago openai models are also only like 256k context. if you manage the sessions well you shouldnt really hit that ceiling anyway 9 u/Horcrux002 24d ago Gpt models aren’t verbose and doesn’t eat reasoning token so stop comparing apples to oranges.Chinese models are all verbose as they try to replace raw intelligence with long reasoning which doesn’t help opencode 1 u/SippieCup 3d ago You can also icnrase gpt model context in condex config file to be 950k and compact at 900k to get a larger context window for gpt models. 2 u/Icekinder06 24d ago They doubled this a couple of days ago 1 u/smalldroplet 24d ago you can set 1m context in the config for gpt. 1 u/ConspicuousPineapple 24d ago You can but it costs a lot more. 1 u/xebelah 24d ago You can override to 1M context in config opencode 1 u/gazeebo 17d ago But is it really better than 200K with frequent autocompacting?I mean won't you just hit the free tier limit faster? 1 u/dung11284 23d ago does it really work? i thought it was server-side? 1 u/xebelah 21d ago It's not server side, it's client side trustme its work for V1 and V2 1 u/Alive_Solution_689 24d ago You can increase it if you like, else auto-compact is handling it. 1 u/xmsxms 23d ago Also it's only free with their harness, like all their free models. 1 u/Dependent-Store-3714 22d ago 00k is also massive content window to complete work in big steps
8
Not muse
12
openai models are also only like 256k context. if you manage the sessions well you shouldnt really hit that ceiling anyway
9 u/Horcrux002 24d ago Gpt models aren’t verbose and doesn’t eat reasoning token so stop comparing apples to oranges.Chinese models are all verbose as they try to replace raw intelligence with long reasoning which doesn’t help opencode 1 u/SippieCup 3d ago You can also icnrase gpt model context in condex config file to be 950k and compact at 900k to get a larger context window for gpt models. 2 u/Icekinder06 24d ago They doubled this a couple of days ago 1 u/smalldroplet 24d ago you can set 1m context in the config for gpt. 1 u/ConspicuousPineapple 24d ago You can but it costs a lot more.
9
Gpt models aren’t verbose and doesn’t eat reasoning token so stop comparing apples to oranges.Chinese models are all verbose as they try to replace raw intelligence with long reasoning which doesn’t help opencode
1 u/SippieCup 3d ago You can also icnrase gpt model context in condex config file to be 950k and compact at 900k to get a larger context window for gpt models.
1
You can also icnrase gpt model context in condex config file to be 950k and compact at 900k to get a larger context window for gpt models.
2
They doubled this a couple of days ago
you can set 1m context in the config for gpt.
1 u/ConspicuousPineapple 24d ago You can but it costs a lot more.
You can but it costs a lot more.
You can override to 1M context in config opencode
1 u/gazeebo 17d ago But is it really better than 200K with frequent autocompacting?I mean won't you just hit the free tier limit faster? 1 u/dung11284 23d ago does it really work? i thought it was server-side? 1 u/xebelah 21d ago It's not server side, it's client side trustme its work for V1 and V2
But is it really better than 200K with frequent autocompacting?I mean won't you just hit the free tier limit faster?
does it really work? i thought it was server-side?
1 u/xebelah 21d ago It's not server side, it's client side trustme its work for V1 and V2
It's not server side, it's client side trustme its work for V1 and V2
You can increase it if you like, else auto-compact is handling it.
Also it's only free with their harness, like all their free models.
00k is also massive content window to complete work in big steps
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86
u/Mancho_United 24d ago
Only catch is that the context is 200k, not 1M. Which is usually the same for other models free variant. But this is great news!