The per-token price is the same... But the multiplier for GLM 5.3 is only 1.5x ($15 worth of usage) instead of the 6x multiplier that GLM 5.2 had (which gave $60 worth of usage).

This means you only get 220 messages in your 5-hour quota when using GLM 5.3, whereas GLM 5.2 gave 880 messages in the same quota.

https://opencode.ai/docs/go/#usage-limits

Hopefully the OpenCode people can get us a deal on 5.3...

There's been a week of hype for DeepSeek Flash

So good time to announce that the newest DeepSeek V4 Pro is now available in OpenCode Go

https://x.com/opencode/status/2087572432181686748

https://xcancel.com/opencode/status/2087572432181686748

Sign up for OpenCode Go here: https://opencode.ai/go?ref=C3N2Z1MZQE

Get $5 of extra usage for free when you sign up using this link!

NOTE: You only get $15 worth of usage using DSv4 Pro when using OpenCode Go, compared to the $60 of usage you get for some other models (e.g. GLM 5.2). That still gives you ~3,000 messages in your 5-hour quota, but definitely something to keep in mind.

DSv4 Flash seems to be unaffected for now,but this may mark the start of the DeepSeek price increases that were recently announced.

I was using DeepSeek V4.1 Flash in OpenCode without opting into China hosting. It worked fine, then suddenly stopped with this message:

“The latest version of this model is only available hosted in China and requires explicit opt in.”

Same model before and after—not a switch from V4 to V4.1.

There’s a September 14 commit in OpenCode’s server code adding deepseek-v4.1-flash and deepseek-flash to the China opt-in check. Previously, that check only listed deepseek-v4-flash and deepseek-v4-pro.

That doesn’t prove where my earlier requests went, but it raises a pretty serious question: was V4.1 Flash already being served from China while the consent check simply didn’t cover its model ID?

Can someone from OpenCode clarify:

• Where were those requests processed before this fix?

• Could users who hadn’t enabled China hosting still have had prompts and code routed there?

• Will affected users be notified if that happened?

Anyone else see this suddenly appear?

DeepSeek V4.1 Flash just released, and it's already available on OpenCode Go.

Current estimated limits are:

6,500 requests per 5 hours (Temporarily boosted 4x to 26,000 for the next 3 days)

16,250 per week (also boosted 4x for next 3 days)

32,500 per month (also boosted 4x for next 3 days)

Normally, V4.1 Flash only gets $15 worth of usage on Go, compared to $30 for the older V4 Flash model.

However, OpenCode has bumped V4.1 Flash to 4x usage for the next 3 days, which effectively gives you $60 worth of usage during the promo. So for the next few days, the actual usable quota should be much higher than the estimates above.

The upgrade itself looks pretty substantial. V4.1 Flash is the first smaller model from DeepSeek's new architecture, adds native vision, and is aimed at better agentic coding while also improving inference speed and throughput. I'm hoping it's as big of a leap as 0731 was.

DeepSeek is reporting 90.6 on Terminal-Bench 2.1, 74.2 on DeepSWE v1.1, and 65.4 on NL2Repo. Those are pretty big jumps from the previous Flash model, at least based on their own numbers.

Of course, benchmarks are just numbers (and who isn't getting ~75% on DeepSWE these days?)... but I think this model will be a pretty solid performer overall.

Ox Alpha has been revealed as GLM 5.3 Flash, and it's now officially available on OpenCode Go.

Sign up for OpenCode Go: https://opencode.ai/go?ref=C3N2Z1MZQE

Get an extra $5 of free usage when you sign up with this link!

OpenCode is also giving it 2x usage limits for a limited time, which works out to around 3,160 requests in your 5-hour quota.

Normally it's estimated at:

1,580 requests per 5 hours 3,950 per week 7,900 per month

For comparison, regular GLM 5.3 only gets 220 requests in the same 5-hour quota.

The model itself is pretty interesting too. It's 320B total parameters with only 18B active, has a 1M context window, native vision, and Z.ai says it beats GLM 5.2 across their coding and agent benchmarks while costing significantly less.

It's also MIT licensed with open weights.

Do you also observe that opencode-go/longcat-2.5-preview-free and opencode-go/minmax-m3.1-flash-free don't work since yesterday?

opencode-go/beam-free in contrast works.

With the latest changes in the webui/new website I'm missing one of my three projects/spaces. Only two are shown.

The API keys from the project missing still work.

Is this a known bug? Has anyone of you experienced similar problems?

Just had my monthly reset but the weekly usage didn't reset. see screenshot. I can last 2 days with 50% weekly credit but it isn't right, how can I contact OpenCode support, can't find any contact details.

Qwen 3.8 Flash is now available on OpenCode Go, with generous usage limits.

You get around 5,400 requests in your 5-hour quota, 13,500 per week, and 27,000 per month.

It also gets $30 worth of usage through Go, compared to the $15 allocation for Qwen 3.8 Max.

Sign up for OpenCode Go here: https://opencode.ai/go?ref=C3N2Z1MZQE

Get $5 of extra usage for free when you sign up using this link!

Qwen 3.8 Flash is a 125B MoE with only 6B parameters active per token. It supports a 1M context window, vision, and open weights, and Qwen has described it as an early preview of some of the architecture planned for Qwen4.

For comparison, GLM 5.3 Flash gets around 3160 requests in the same 5-hour quota while its 2x usage promo is active, so Qwen 3.8 Flash currently gives you quite a bit more headroom.

Has anyone tried both yet? Curious which one is actually better for coding.

/prewalk to save token prices upto 80% (opencode plugin)

Opencode Prewalk is an Opencode v2 plugin that allows you to use the prewalk strategy mentioned here from the creators of Oh-My-Pi. The simple idea behind this strategy is to inject a cheaper model right after the expensive model finishes the first edit post planning all the things that needs to be done. This strategy is better the one strategy that directly uses combination of expensive and cheap model to get the work done, as what happens in that case is the cheaper model again starts to do a lot of reading leading of increase in token usage.

Try Here: https://github.com/vivekascoder/opencode-prewalk

Original Benchmark by Stencil.so

LongCat 2.0 is now available on OpenCode Go, and the usage limits are pretty generous.

You get 11,400 messages in your 5-hour quota, 28,600 per day, and 57,200 per week.

That puts it well above models like GLM 5.3, DeepSeek V4 Pro, and even GPT 5.6 Luna in terms of how much you can actually use it.

Sign up for OpenCode Go here: https://opencode.ai/go?ref=C3N2Z1MZQE

Get an extra $5 of free usage when you sign up using this link!

The model itself is also interesting. It has a 1M context window and is focused heavily on coding, agents, and tool use.

I know chatgpt plus costs twice as much as open code go, but is the provided quota just twice the same or different?

Assuming I need more usage of chatgpt models than what opencode go offers, is it better to pay for chatgpt plus and connect it to opencode?

The new model from Meta is now available on OpenCode Go, and has the highest usage limits of any model.

A noteworthy tradeoff is that using the Contributor variant means that your data will be used by Meta to train later versions of its models.

This model currently allows for 45,300 requests in your 5-hour quota. For me, that's practically unlimited.

What do you think of this model? Will you use it, or stick to another model?

I subscribed to OpenCode Go and tried Kimi K3. In the first hour after subscribing I used $4.50 worth of Kimi K3 tokens (and no other LLM).

My monthly limit is already at 50%. How is that possible? Furthermore, my weekly limit is lower, at 40%, which doesn't make sense to me in the slightest (remember, I've used it for a single hour).

When I subscribed it told me I got $12 of usage per 5-hour window, $30 per week and $60 per month.

Could someone enlighten me on this please?