AI Desk · Model Identity · Compare
IBM: Granite 4.0 Micro · OpenAI: GPT-3.5 Turbo Instruct
Identity similarity: highNear-exact agreement · 41/41Agreement this close usually means one tokenizer behind two serving templates, or a small vocabulary revision inside one family. The differing rows below say which strings part.
IBM: Granite 4.0 Micro recordOpenAI: GPT-3.5 Turbo Instruct recordOpen in the interactive bench
Tokenizer fingerprint
41 of 41 mutually clean strings agree| Test string | IBM: Granite 4.0 Micro | OpenAI: GPT-3.5 Turbo Instruct | Verdict |
|---|---|---|---|
| en-prose | 14 | 14 | match |
| en-long | 16 | 16 | match |
| spaces-20 | 3 | 3 | match |
| spaces-60 | 3 | 3 | match |
| tabs-20 | 3 | 3 | match |
| newlines-20 | 4 | 4 | match |
| mixed-ws | 5 | 5 | match |
| digits-9 | 3 | 3 | match |
| digits-12 | 4 | 4 | match |
| digits-30 | 10 | 10 | match |
| digits-sep | 7 | 7 | match |
| float-long | 9 | 9 | match |
| zh-common | 18 | 18 | match |
| zh-long | 25 | 25 | match |
| zh-rare | 23 | x | – |
| ja-kana | 14 | 14 | match |
| ja-kanji | 17 | 17 | match |
| ko | 19 | x | – |
| ru | 16 | 16 | match |
| ar | 25 | 25 | match |
| he | 24 | 24 | match |
| hi | 32 | 32 | match |
| th | 25 | 25 | match |
| el | 29 | x | – |
| emoji-basic | 10 | x | – |
| emoji-skin | 30 | x | – |
| emoji-zwj-family | 18 | x | – |
| emoji-zwj-x3 | 54 | x | – |
| emoji-flags | 24 | 24 | match |
| emoji-prof | 29 | x | – |
| math | 32 | 32 | match |
| boxdraw | 28 | x | – |
| combining | 14 | 14 | match |
| cjk-ext-b | 13 | 13 | match |
| surrogates | 40 | 40 | match |
| zalgo | 36 | 36 | match |
| rtl-mix | 11 | 11 | match |
| py-code | 25 | 25 | match |
| py-indent | 15 | 15 | match |
| json | 20 | 20 | match |
| html | 16 | 16 | match |
| regex | 44 | 44 | match |
| camel | 5 | 5 | match |
| snake | 6 | 6 | match |
| rare-word-x5 | 31 | 31 | match |
| repeat-tok | 22 | 22 | match |
| base64 | 35 | 35 | match |
| hex | 11 | 11 | match |
| url | 17 | 17 | match |
| uuid | 27 | 27 | match |
Values are the marginal prompt-token cost of each string with the model's fixed overhead subtracted. An x marks a row excluded as corrupt for that model.
API surface
The declared serving contracts differ| Field | IBM: Granite 4.0 Micro | OpenAI: GPT-3.5 Turbo Instruct | Verdict |
|---|---|---|---|
| Context length | 131000 | 4095 | × differs |
| Max output tokens | 117900 | 3685 | × differs |
| Supported parameters | frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_k, top_logprobs, top_p | frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, top_logprobs, top_p | × differs |
| Defaults | {"temperature":null,"top_p":null,"frequency_penalty":null} | {} | × differs |
| Reasoning contract | – | – | ✓ match |
| Modalities | text->text | text->text | ✓ match |
Method: tokenizer fingerprinting, v1, 50 strings. This page is static and dated; the interactive bench compares any two of the 486 catalogue models.