Head to head · LLM inference · October 2026 research run

Gemini 4 Hydrogen vs Novita AI

Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Novita AI's 56.1 (C), and leads in 5 of 7 scored categories. Novita AI leads on security & auth and payments & pricing. Both do llm inference.

Best model APIs and inference for AI agents · All 1044 models comparisons

Which one, for what

Gemini 4 Hydrogen B

Best for Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.

Ahead on

  • Reliability, 45 against 28
  • Schema & documentation, 85 against 62
  • Agent ergonomics, 90 against 72
  • Maintenance & community, 85 against 66
  • Transparency & trust, 72 against 57

Watch for

temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400

Novita AI C

Best for Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.

Ahead on

  • Security & auth, 65 against 50
  • Payments & pricing, 53 against 40

Watch for

No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Schema & documentation Gemini 4 Hydrogen +23

Gemini 4 Hydrogen 85

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Hydrogen takes, every parameter that's ignored or returns 400, the thought-signature rules and how to migrate from Gemini 3.8 Flash, though it doesn't document forced calls (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.

Novita AI 62

Model reading. The OpenAPI 3.1.0 document at /.well-known/openapi.json is a 964-byte discovery file with four paths and no schemas, and the API reference is written by hand (6 of 25). llms.txt on both hosts, a Markdown copy of every docs page and an llms-full.txt (10). Guides for function calling, structured output, prompt caching, batch and reasoning say what each is for, and the chat reference describes 136 request and response fields (14 of 20). Fields are typed with required flags and defaults. Enums and ranges are stated in prose only (10 of 15). Curl and Python examples on each guide, error tables by product, a common errors guide and a table of which statuses are billed. The FAQ says json_schema and top_logprobs are unsupported while the reference and a guide document both (10 of 15). A dated changelog with 84 entries since February 2024. The API has no version scheme beyond /v1 (12 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Maintenance & community Gemini 4 Hydrogen +19

Gemini 4 Hydrogen 85

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85.

Novita AI 66

Model reading. Changelog entries per the 27 October reading of each entry page, not re-read on 4 November because Novita's terms bar automated access to the site and its linked channels. The newest entry is dated 22 October 2026 (30). Retirement notices carry a UTC time and a replacement, with notice of 1 day (22 October for xiaomimimo/mimo-v2.5 at 00:00 UTC on 23 October) to 29 days (1 September for multimodal models on 30 September). No written notice period was found (6 of 12). Nine dated entries in the 90 days from 6 August (1, 8, 18, 20, 23 and 28 September, 15, 19 and 22 October), each read on its own page (8 of 8). A dated changelog, a Discord server and a support address per the 9 October check (12 of 15). novitalabs/python-sdk and novitalabs/javascript-sdk are archived, unchanged since 8 November 2024 and 4 March 2025, and issue replies were not examined (2 of 10). The docs rely on the OpenAI client, the SDK page still named the two archived packages on 9 October, and the skill repository is unchanged since 24 September 2026 (5 of 15). The JavaScript SDK repository has a publish workflow only and the Python one has none (3 of 10). 30 + 6 + 8 + 12 + 2 + 5 + 3 = 66.

Agent ergonomics Gemini 4 Hydrogen +18

Gemini 4 Hydrogen 90

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90.

Novita AI 72

Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). tools with a strict flag and a worked example. The list of models that support it is drawn by script, and tool_choice is absent from the chat reference (13 of 20). response_format takes json_object and json_schema with strict in the reference, while the FAQ says only json_object works (9 of 15). Prompt caching is automatic on supported models, cache-read prices are on the pricing page and cached_tokens is returned in usage (12 of 15). Context of 1M tokens on DeepSeek V4, GLM 5.3 and Kimi K3 per the pricing page. Output caps were not read (12 of 15). OpenAI-style files and batches with a 24-hour window, one model per file and an introductory 50 per cent discount (10). The OpenAI client works with a changed base URL. Both vendor SDK repositories are archived (5 of 10). Named error codes, a 429 that separates request and token limits, and a trace_id for support (11 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Reliability Gemini 4 Hydrogen +17

Gemini 4 Hydrogen 45

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45.

Novita AI 28

Hosted reading. No status page was found. None is linked from the home page, the pricing page, the docs introduction, either llms.txt or the docs site map (0), so there is no incident record to read (0). The rate limit page documents five account tiers set by monthly top-ups, from under $50 to $10,000 and over, and limits counted in RPM and TPM per model. The figures per model are drawn by script and were not readable, so this line takes part marks (8 of 15). 429 with RATE_LIMIT_EXCEEDED or TOKEN_LIMIT_EXCEEDED, advice to throttle and use exponential backoff, and a billing page that says 429, 500, 503 and 504 are not charged. No Retry-After header was found (10 of 15). No SLA was found. The home page states 99.5% uptime, and the terms say availability is not guaranteed (0). Generally available (10). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Security & auth Novita AI +15

Gemini 4 Hydrogen 50

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50.

Novita AI 65

Model reading. Bearer keys with the sk_ prefix, shown once, up to 10 an account, with an expiry of 24 hours, 30 days, 90 days or none fixed at creation, deletable in the console, and a per-key model access policy and source IP allowlist that can be set by API. OAuth with PKCE and the scopes api and balance:read is described in auth.md, with no token revocation endpoint. No documented way to send a key in a URL was found (26 of 30). The terms, re-read on 4 November and still updated 5 August 2026, say content is not used to train Novita's models or improve the services by default (17 of 20). The terms state zero data retention, with exceptions for law and for what is necessary to run or support the service, and allow automated safety screening. Batch input files are kept for 15 days (11 of 15). Billing can be queried per key, and budget, monitoring and metrics pages are listed in the docs index and were not read (7 of 15). The trust centre at trust.novita.ai is drawn by script and was not read. /.well-known/security.txt returns 404, and no disclosure policy or bug bounty was found (4 of 20). The key, retention and trust-centre readings are per the 9 October check, not re-read on 4 November.

Transparency & trust Gemini 4 Hydrogen +15

Gemini 4 Hydrogen 72

Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.

Novita AI 57

Closed service. The terms set Delaware law and arbitration but name the party only as Novita AI, with no corporate form or address. The skill and the MCP server are MIT (10 of 30). The terms state zero data retention and no training by default, and the privacy policy lists retention periods (account data for the life of the account plus 7 years, technical data 2 years). The privacy policy says it does not cover content processed for customers and points to customer agreements. No DPA was found (16 of 30). Retirement notices in the changelog carry a UTC time and a replacement. The terms reserve the right to discontinue any service without notice (12 of 20). The privacy policy names categories of recipients only and transfers that include the United States. No sub-processor list was found (4 of 20). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Score by category

CategoryWeight this runGemini 4 HydrogenNovita AIEdge
Reliability16%204528Gemini 4 Hydrogen +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28562Gemini 4 Hydrogen +23
Agent ergonomics13%16.29072Gemini 4 Hydrogen +18
Security & auth14%17.55065Novita AI +15
Payments & pricing10%12.54053Novita AI +13
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88566Gemini 4 Hydrogen +19
Transparency & trust7%8.87257Gemini 4 Hydrogen +15
Negative events≤1500
TotalB 64.9/100C 56.1/100

Facts side by side

FactGemini 4 HydrogenNovita AI
KindModel APIModel API
VendorGoogleNovita AI
Hosted endpointhttps://generativelanguage.googleapis.com/v1betahttps://api.novita.ai/openai
TransportsHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceClosed model, used through the Gemini API and Google's apps under Google's termsProprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-11-122026-10-22
Terms last updated2026-04-282026-08-05
Privacy policy last updated2026-10-012026-05-13
Customer content may train modelsyesnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularitynone6 stars, 1.4k npm/wk

How the scores have moved

Verdicts

Gemini 4 Hydrogen

Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.

Novita AI

Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them.

Before you call either

Gemini 4 Hydrogen

  1. Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key
  2. Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency
  3. Don't send temperature, top_p, top_k, penalties or candidate_count above 1
  4. Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400
  5. Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier

Novita AI

  1. Set the OpenAI client base URL to https://api.novita.ai/openai and send the key as Authorization: Bearer. Keys start with sk_
  2. Do not close a connection to stop generation. A request that reached the model is billed in full under status 499, so cap output with max_tokens
  3. On 429, check whether the code is RATE_LIMIT_EXCEEDED or TOKEN_LIMIT_EXCEEDED and back off exponentially. No Retry-After header is documented
  4. Read the changelog for retirement notices before pinning a model id. One retirement in October 2026 came with 11 days' notice
  5. Ask the account owner for a key with an expiry, a model access policy and an IP allowlist. Keys are created and deleted only in the console

Questions

Which is better for AI agents, Gemini 4 Hydrogen or Novita AI?

Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Novita AI's 56.1 (C), and leads in 5 of 7 scored categories. Novita AI leads on security & auth and payments & pricing.

Do Gemini 4 Hydrogen and Novita AI need an API key?

Both need an API key.

Can an agent call Gemini 4 Hydrogen and Novita AI without installing anything?

Yes. Gemini 4 Hydrogen has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Novita AI at https://api.novita.ai/openai.

Other comparisons with Gemini 4 Hydrogen or Novita AI

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