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Price is unchanged from Gemini 3 Pro: $2/M input, $12/M output. https://ai.google.dev/gemini-api/docs/pricing https://ai.google.dev/gemini-api/docs/pricing Kno

Price is unchanged from Gemini 3 Pro: $2/M input, $12/M output. https://ai.google.dev/gemini-api/docs/pricing https://ai.google.dev/gemini-api/docs/pricing Knowledge cutoff is unchanged at Jan 2025. Gemini 3.1 Pro supports "medium" thinking where Gemini 3 did not: https://ai.google.dev/gemini-api/docs/gemini-3 https://ai.google.dev/gemini-api/docs/gemini-3 Compare to Opus 4.6's $5/M input, $25/M output. If Gemini 3.1 Pro does indeed have similar performance, the price difference is notable.

deleted 8mo ago
[deleted]
plaidfuji 8mo ago
Sounds like the update is mostly system prompt + changes to orchestration / tool use around the core model, if the knowledge cutoff is unchanged
- sigmar 8mo ago
  knowledge cutoff staying the same likely means they didn't do a new pre-train. We already knew there were plans from deepmind to integrate new RL changes in the post training of the weights. https://x.com/ankesh_anand/status/2002017859443233017 https://x.com/ankesh_anand/status/2002017859443233017
- brokencode 8mo ago
  This keeps getting repeated for all kinds of model releases, but isn’t necessarily true. It’s possible to make all kinds of changes without updating the pretraining data set. You can’t judge a model’s newness based on what it knows about.
rancar2 8mo ago
If we don't see a huge gain on the long-term horizon thinking reflected with the Vendor-Bench 2, I'm not going to switch away from CC. Until Google can beat Anthropic on that front, Claude Code paired with the top long-horizon models will continue to pull away with full stack optimizations at every layer.
jbellis 8mo ago
still no minimal reasoning in G3.1P :( (this is why Opus 4.6 is worth the price -- turning off thinking makes it 3x-5x faster but it loses only a small amount of intelligence. nobody else has figured that out yet)
- sunaookami 8mo ago
  Thinking is just tacked on for Anthropic's models and always has been so leaving it off actually produces better results everytime.
  - girvo 8mo ago
    What about for analysis/planning? Honestly I've been using thinking, but if I don't have to with Opus 4.6 I'm totally keen to turn it off. Faster is better.
    - sunaookami 8mo ago
      I've always just used the "Plan mode" in Claude Code, I don't know if it uses thinking? I have "MAX_THINKING_TOKENS" in my settings.json set to "0", too. Didn't notice a drop in performance, I find it better because it doesn't overthink ("wait, let me try..."). Likely depends on a case-by-case basis (as so often with AI). For me, it's better without thinking.
- iCarrot 8mo ago
  You can turn off thinking in Gemini pro models by using completion mode. Essentially, append a message with role=model and minimal text part, such as a simple "A", at the end of the "contents" array. The model will try to complete the message without using any thought tokens. You can also set the model message to start with "think" or something along that line and watch it thinks out loud (or melts down with over-thinking and stop due to reaching maximum output token) ``` [ { "parts": [{"text": "hello"}], "role": "user" }, { "parts": [{"text": "*think"}], "role": "model" } ] ```
  - 8mo ago
agentifysh 8mo ago
Looks like its cheaper than codex ??? this might be interesting then
- TZubiri 8mo ago
  It's not trained for agentic coding I don't think
oblio 8mo ago
> Knowledge cutoff is unchanged at Jan 2025. Isn't that a bit old?
- minimaxir 8mo ago
  Old relative to its competitors, but the Search tool can compensate for it.
  - meeq 8mo ago
    It could in practice. Just get ready for some very interesting thinking tokens, akin to a psychotic break, once it interacts with the "simulated reality" and "the user‘s fabrication of a nonexistent timeline within the hypothetical future". Gemini 3.0 was convinced that my dependency versions pinned in package.json were hallucinated by an AI, because they "shouldn't yet exist". I just hope this kind of behavior is gone.
amluto 8mo ago
Now compare the monthly plans for business users who want the CLI agent but who don’t want the models trained on their data. OpenAI: no big deal — sign up, pick your number of seats, and you’re all set. Anthropic: also no big deal but there’s an obnoxious minimum purchase. Google: first you have to try to figure out what the product is called. Then you need to figure out how to set the correct IAM rules. Then you have to sign up and pay for it. Maybe you succeed. Maybe you give up after an hour or two of cursing. Gemini is, of course, completely unable to help. (OpenAI clearly has not trained their models on how to operate their tools. Google’s models hallucinate Google’s product offerings so outrageously that I’m not sure I could tell. I haven’t asked Claude about Claude Code.) At least the monthly pricing is similar once you get over the hurdles.
- miohtama 8mo ago
  I can confirm the products bit, I tried to use Gemini to help with G Suite admin.
- waffletower 8mo ago
  Well some are using Anthropic on AWS Bedrock which is a bit more like the Google paragraph. Perhaps a good thing that Nova models aren't competitive (and many here are asking "What's a Nova model?"). And remember, many businesses aren't flinching at IAM controls and are asking for data privacy contracts.
  - trvz 8mo ago
    Well some are masochists.
- nl 8mo ago
  There's a reason Google model usage on OpenRouter is so high - it's easier to pay the OpenRouter tax than it is to figure out how to pay Gemini directly.
  - fumeux_fume 8mo ago
    Google is a cloud provider so API usage is funneled thru GCP. It's the same for Microsoft and Amazon.
sothatsit 8mo ago
You cannot just directly compare prices like this. It is like comparing share prices, it doesn't really mean much unless you also know how many tokens the models use. For example, GPT-5.2 is even cheaper than Gemini, but in real-world usage it ends up costing similar amounts to Opus 4.6 because it uses a lot more tokens.
adonese 8mo ago
The only thing i don't like about gemini models (gemini cli) is that there's no transparency on which model I'm using. I can start with pro and it can be downgraded sometimes even to gemini 2.5 flash lite.

deleted 8mo ago

[deleted]

plaidfuji 8mo ago

Sounds like the update is mostly system prompt + changes to orchestration / tool use around the core model, if the knowledge cutoff is unchanged

sigmar 8mo ago
knowledge cutoff staying the same likely means they didn't do a new pre-train. We already knew there were plans from deepmind to integrate new RL changes in the post training of the weights. https://x.com/ankesh_anand/status/2002017859443233017 https://x.com/ankesh_anand/status/2002017859443233017
brokencode 8mo ago
This keeps getting repeated for all kinds of model releases, but isn’t necessarily true. It’s possible to make all kinds of changes without updating the pretraining data set. You can’t judge a model’s newness based on what it knows about.

rancar2 8mo ago

If we don't see a huge gain on the long-term horizon thinking reflected with the Vendor-Bench 2, I'm not going to switch away from CC. Until Google can beat Anthropic on that front, Claude Code paired with the top long-horizon models will continue to pull away with full stack optimizations at every layer.

jbellis 8mo ago

still no minimal reasoning in G3.1P :( (this is why Opus 4.6 is worth the price -- turning off thinking makes it 3x-5x faster but it loses only a small amount of intelligence. nobody else has figured that out yet)

sunaookami 8mo ago
Thinking is just tacked on for Anthropic's models and always has been so leaving it off actually produces better results everytime.
- girvo 8mo ago
  What about for analysis/planning? Honestly I've been using thinking, but if I don't have to with Opus 4.6 I'm totally keen to turn it off. Faster is better.
  - sunaookami 8mo ago
    I've always just used the "Plan mode" in Claude Code, I don't know if it uses thinking? I have "MAX_THINKING_TOKENS" in my settings.json set to "0", too. Didn't notice a drop in performance, I find it better because it doesn't overthink ("wait, let me try..."). Likely depends on a case-by-case basis (as so often with AI). For me, it's better without thinking.
iCarrot 8mo ago
You can turn off thinking in Gemini pro models by using completion mode. Essentially, append a message with role=model and minimal text part, such as a simple "A", at the end of the "contents" array. The model will try to complete the message without using any thought tokens. You can also set the model message to start with "think" or something along that line and watch it thinks out loud (or melts down with over-thinking and stop due to reaching maximum output token) ``` [ { "parts": [{"text": "hello"}], "role": "user" }, { "parts": [{"text": "*think"}], "role": "model" } ] ```
- 8mo ago

agentifysh 8mo ago

Looks like its cheaper than codex ??? this might be interesting then

TZubiri 8mo ago
It's not trained for agentic coding I don't think

oblio 8mo ago

> Knowledge cutoff is unchanged at Jan 2025. Isn't that a bit old?

minimaxir 8mo ago
Old relative to its competitors, but the Search tool can compensate for it.
- meeq 8mo ago
  It could in practice. Just get ready for some very interesting thinking tokens, akin to a psychotic break, once it interacts with the "simulated reality" and "the user‘s fabrication of a nonexistent timeline within the hypothetical future". Gemini 3.0 was convinced that my dependency versions pinned in package.json were hallucinated by an AI, because they "shouldn't yet exist". I just hope this kind of behavior is gone.

amluto 8mo ago

Now compare the monthly plans for business users who want the CLI agent but who don’t want the models trained on their data. OpenAI: no big deal — sign up, pick your number of seats, and you’re all set. Anthropic: also no big deal but there’s an obnoxious minimum purchase. Google: first you have to try to figure out what the product is called. Then you need to figure out how to set the correct IAM rules. Then you have to sign up and pay for it. Maybe you succeed. Maybe you give up after an hour or two of cursing. Gemini is, of course, completely unable to help. (OpenAI clearly has not trained their models on how to operate their tools. Google’s models hallucinate Google’s product offerings so outrageously that I’m not sure I could tell. I haven’t asked Claude about Claude Code.) At least the monthly pricing is similar once you get over the hurdles.

miohtama 8mo ago
I can confirm the products bit, I tried to use Gemini to help with G Suite admin.
waffletower 8mo ago
Well some are using Anthropic on AWS Bedrock which is a bit more like the Google paragraph. Perhaps a good thing that Nova models aren't competitive (and many here are asking "What's a Nova model?"). And remember, many businesses aren't flinching at IAM controls and are asking for data privacy contracts.
- trvz 8mo ago
  Well some are masochists.
nl 8mo ago
There's a reason Google model usage on OpenRouter is so high - it's easier to pay the OpenRouter tax than it is to figure out how to pay Gemini directly.
- fumeux_fume 8mo ago
  Google is a cloud provider so API usage is funneled thru GCP. It's the same for Microsoft and Amazon.

sothatsit 8mo ago

You cannot just directly compare prices like this. It is like comparing share prices, it doesn't really mean much unless you also know how many tokens the models use. For example, GPT-5.2 is even cheaper than Gemini, but in real-world usage it ends up costing similar amounts to Opus 4.6 because it uses a lot more tokens.

adonese 8mo ago

The only thing i don't like about gemini models (gemini cli) is that there's no transparency on which model I'm using. I can start with pro and it can be downgraded sometimes even to gemini 2.5 flash lite.