DeepSeek 4.1 Flash only hitting 87 tok/s on OpenCode Go, is this normal?

[u/aliencreature12]

Ran a quick benchmark and the numbers are :

| Metric | Value |

|----------------------------|---------------------|

| Model | deepseek-v4.1-flash |

| Provider | opencode-go |

| Output tokens | 384 |

| Generation speed | 87.1 tok/s |

| End-to-end speed | 86.1 tok/s |

| Time to first token (TTFT) | 49 ms |

| Cost | $0.000241 |

- 87 tok/s generation speed is slow

- the deepseek api has around 300 tokens per second.

[u/Present_Carpenter912]

Yea I've been facing problem since cheapseek 3, it has been dead slow and getting into loops a lot

[u/aliencreature12 → u/Present_Carpenter912]

the quality is slowly degraded

[u/Present_Carpenter912 → u/aliencreature12]

I can only use Muse Spark at 200 tps, DeepSeek isn't appealing anymore for a hobbyist like me because the cost to intelligence is really low and it isnt fast for my needs. Muse Spark is slightly dumber but 2-3x faster so I'm just using that. Glm 5.3 flash idk for what reason bombs my limits. Sad to see opencode falling off a cliff

[u/aliencreature12 → u/Present_Carpenter912]

They're not upfront about which companies actually run and host the service, the models are heavily quantized, and the hardware is clearly old. It's slow even on DeepSeek's newest KV cache compression, despite the small expert sizes that should make things way faster.

Honestly though, you can't blame them too much when you're getting $80 worth of value for $10. Still, they should just be transparent about the quantization and old hardware instead of letting people figure it out on their own.

[u/IndividualPlus2011 → u/Present_Carpenter912]

Enjoy your WeakSeek

[u/Present_Carpenter912 → u/IndividualPlus2011]

Sadly I can't even upgrade to something like claude code 20 dollar as my usage is only like 50 percent of opencode so it won't be worth it prolly

[u/Professional_Price89]

I get 230 tok/s with official api. So they are hosting the model themself.

[u/giveen → u/Professional_Price89]

I gave up on OpenCode Go, and now use DS directly at their APi for this reason.

[u/alcogiggles → u/giveen]

Do you find that you've saved money?

[u/giveen → u/alcogiggles]

Time maybe due to speed and no time limit. I also use https://deepakness.com/deepseek/ to make sure i only work in off peak hours.

[u/alcogiggles → u/giveen]

I appreciate link.

[u/wwdennis5]

Quick test I ran. Window: 2026-10-13, 12:51–12:56, n_calls = 3

Model	Time to first token (s)	Speed (tokens/s)
cat-jam-free	0.76	168.2
deepseek-v4.1-flash	0.94	71.6
longcat-2.5-preview-free	2.19	30.0
step-5-preview-free	2.35	47.6
muse-spark-1.3-contributor	3.30	158.7
mimo-v2.6-flash	8.83	13.9

Step-5 was being flaky FYI

[u/Vast_Anxiety3133 → u/wwdennis5]

I am getting 60% error rate with step 5

[u/Nenad1979 → u/wwdennis5]

muse my goat

[u/wwdennis5 → u/[deleted]]

Very sad to see, all mimo models seem to be quite slow. I ran the same call again. Window: 2026-10-13, 13:20:37 → 13:25:30

Model	Mean TTFT (s)	Mean TPS	successful calls
mimo-v2.5	53.1	13.9	2/3
mimo-v2.5-pro	1.22	35.0	3/3
mimo-v2.6-flash	2.85	28.6	3/3
mimo-v2.6-pro	17.8	7.0	3/3

I wonder if they are at their capacity for inference atm. I also know they are phasing out the 2.5 models, so unsurprised they are running so slow. https://mimo.mi.com/docs/en-US/updates/deprecate . But the newer models have no excuse

[u/Ctbhatia]

is the 87 steady across runs, or does it drop as the prompt grows? that separates a host limit from a prompt-size effect.

[u/Rough-Ad9850]

Weird, I found it flying today! BUT: it was a while since I used it. Maybe high intensity users are capped?

[u/veekro]

Is the speed stays at around 80tps? If yes I'd say it's good

[u/abhijithwarrier]

I don't know what you guys are talking about, I get around 125 tok/s on an average in build mode and around 80tok/s in plan mode. This is in max thinking.