DeepSeek V4 Pro 0813

Why does this link to OpenRouter, which has no useful information on its own? Linking to the official API or the benchmarks would make more sense:- https://api-docs.deepseek.com/- https://x.com/ChrisGPT/status/2087572834650407024/photo/1 (officially posted on WeChat, this is just one of many reposts) reply: There's no new page for this model. Hackernews didn't allow the same link be posted twice.

Have been letting it spin pretty hard (~$12.50 for 2B, 50% cache hits) on my traffic simulator/distributed physics engine all day, it's found some pretty significant gains without introducing any new problems.I'm happy reply: 50% cache hit is really low - in a standard agentic loop you should expect like 99%+ cache hit percentage (which should also lower that $12.50 to like a couple of $ for the same amount of tokens).If you're using a customised harness you should make sure you don't have something that's e.g. changing your system prompt on some requests or rewriting history - it can be tempting to do stuff like strip old thinking tokens or compact tool call results to reduce context size but it's a trap - you want to never change history because of how cheap cache is, even more so with deepseek because their cache hit pricing is so low compared to most other models.

Nice bicycle chain, the little basket with a fish didn't show up in the right place: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... reply: On either side of the front wheel is a perfectly reasonable place to carry cargo. I think I'd have taken more issue with the spokes, or at least that's what stood out to me. The chain is indeed nice, however.

I've been using the last Deepseek Flash update for a week and I'm amazed. It was a capable model for easy tasks but now it looks like it can do some heavy development for peanuts.I can't wait to try this new one. reply: IME I can't trust it to write it's own plans from a spec, but if I give it a detailed execution plan written by Opus, it's fast and cheap (if chatty) in executing it.

What I care about is whether the model is capable of the tasks I give it at the lowest cost. Right now I'm using Kimi-K3/GLM-5.2/Minimax. Sonnet is great but I burn through the tokens too fast. Opus 5 set to max is amazing and more intelligent than all of us. .998 of the time I don't need that kind of intelligence. I just need the job done. reply: How do you define intelligence? I encounter that kind of sentiment all too often, and I have to assume we go by wildly different understanding of what that might entail.

Tested both DS v4 pro 0813 and Grok 4.6 (all from openrouter) on Codex cli. Worked on a same new feature development on my project.Deepseek 4 pro: Worked for 12m 02s - cost $0.12 - has bug.Grok 4.6: Worked for 3m 18s - cost $ 1.41 - no bug. reply: Why are people giving these n=1 comparisons like they mean anything? The worst offender is that pelican guy. These are non-deterministic systems and a single trial should not update your priors much at all.Of course it's significant that your response had a bug and took four times longer, but if you're only going to try once, this isn't real science, it's just vibes.

Just tested through openrouter.. gave exactly same task.. the task was to scan existing repo, and generate a single docker-compose file to deploy behind a caddy server, where certain port ranges are already used, the service demands widlcard certificates to be provisioned from outside, and postgre needs to be built-in one...Tested this model, and gpt-5.6-terra-high.Results: this one had few issues. terra: none.These results are consistent with my past observations with the latest flash version as well. What benchmarks say, vs what I've been observing are different.They are good till the project is simple... not anymore. reply: Terra has not been able to do any of the technical tasks I've asked of it correctly. I'm surprised others get use out of it. Anything below Sol high tends to give me mostly unreliable results. I'm using codex as my main harness but maybe it performs better with a different one.

Currently burning money quickly on official deepseek api. They are also increasing pricing starting today. V4 Flash 0731 still feels like the most outstanding model of the past few months and probably to come. reply: DeepSeek V4 Flash is the "too cheap to meter" of AI. And you can run the full unquantized model locally for $8000 (2x DGX Spark) at full 1M context and decent speeds: https://github.com/elsung/dgx-spark-deepseek-v4-flash#-long-...

@dang - Pls merge this with https://news.ycombinator.com/item?id=49274018

Benchmarks: | Benchmark | DS-V4-Pro | DS-V4-Flash | DS-V4-Pro | DS-V4-Flash | GLM-5.2 | Kimi-K3 | Opus-4.8 | Fable 5 | | | 0813 | 0731 | Preview | Preview | | | | (w/ fallback) | |--------------------------|-----------|-------------|-----------|-------------|-----------|-----------|-----------|---------------| | HLE (wo/w tools) | 42.7/60.0 | 37.8/51.5 | 37.7/48.2 | 34.8/45.1 | 40.5/54.7 | 43.5/56.0 | 49.8/57.9 | 53.3/63.0 | | Terminal Bench 2.1 | 87.9 | 82.7 | 72.1 | 61.8 | 81.0 | 88.3 | 85.0 | 88.0 | | NL2Repo | 61.5 | 54.2 | 38.5 | 39.4 | 48.9 | - | 69.7 | - | | Cybergym | 83.3 | 76.7 | 52.7 | 38.7 | - | 80.0 | 78.3 | 83.1 | | DeepSWE | 62.7 | 54.4 | 12.8 | 7.3 | 46.2 | 67.5 | 58.0 | 70.0 | | Toolathlon-Verified | 74.1 | 70.3 | 55.9 | 49.7 | 59.9 | 76.5 | 76.2 | 77.9 | | Agents' Last Exam | 25.7 | 25.2 | 16.5 | 15.8 | 23.8 | 27.6 | 25.7 | - | | AutomationBench (Public) | 31.8 | 25.1 | 12.8 | 10.8 | 12.9 | 30.8 | 27.2 | 29.1 | | DSBench-FullStack | 71.1 | 68.7 | 41.8 | 37.0 | 61.8 | 73.7 | 71.6 | 77.2 | | DSBench-Hard | 67.2 | 59.6 | 31.1 | 25.8 | 54.5 | 63.0 | 71.7 | 68.3 | Source: https://reddit.com/r/LocalLLaMA/comments/1vmi0fg/deepseek_v4...

It appears that the only available endpoint (as of this writing) requires enabling "Allow paid endpoints that train on request data" in the OpenRouter privacy settings. I hope additional paid providers will become available that don't require training on data.

Again, I will wait until there's a provider that doesn't train on prompts before I will benchmark.

Graphs without labels and/or scales on the axes are useless. I know less after viewing that page than before, but I got to see some pretty lines that I guess must mean something.

https://api-docs.deepseek.com/quick_start/pricing/Competitive with opus 4.8 but weaker than sol or fable. About 20x cheaper.

Before DeepSeek-V4-Pro-0813's price goes up, I expect a surge of frantic traffic — hope the servers can hold up.

Still behind Kimi-K3 in almost half of the benchmarks

These people can't version control properly, V4.1 or V5 would be more appropriate.

I'm Satisfied with this model (in opencode)

Even though cost-per-token is low, Deepseek v4 tends to burn an immense number of tokens to accomplish tasks.

This model is not very good at coding, but it is quite good at research, evaluation and action, I don't write code, but it really goes head-to-head with the most expensive models in searches such as stock market and forex

Welp gonna give Deepseek more money. This is very cheap indeed. And I’ve been using them and kimi for a bit now not via open router but on my own and have found them on part with sonnet 5 though sonnet 5 these days I think has gotten worse.At work I had to move to Fable to get decent work results.

Is having padded version numbers with a leading zero a common thing?Wondering, sorry if it's a dumb triviality to ask.Is this even a (sub-)version number? I mean the major version is clearly 4.

I find it interesting how much adoption seems to be influenced by momentum. Some of these Chinese models are surprisingly capable, but developers often default to the models that are already established as the “industry standard

Worse than Luna but more expensive than Luna. Sticking with Luna without sending my data to Deepseek (China)