Head to head · LLM inference · October 2026 research run
Gemini 4 Carbon vs SambaCloud
SambaCloud scores 64.9 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics and maintenance & community. Both do llm inference.
Best model APIs and inference for AI agents · All 1000 models comparisons
Which one, for what
Best for Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.
Ahead on
- Agent ergonomics, 93 against 67
- Maintenance & community, 83 against 77
Also in its favour
- No incidents deducted, where SambaCloud loses 5 points for them
Watch for
Paid tier only, with no free tier to try it on
Best for Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.
Ahead on
- Reliability, 85 against 40
- Security & auth, 61 against 55
- Payments & pricing, 40 against 20
Also in its favour
- Free to start without a card
Watch for
Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026
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.
Reliability SambaCloud +45
Gemini 4 Carbon 40
Model reading for gemini-4-carbon 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). Carbon's launch stage isn't stated in Google's developer post, the Antigravity post or the Cloud developer guide read on 10 November, and the model ID carries no preview label, so half (5 of 10, a judgement call; Argon's GA earned the platform 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.
SambaCloud 85
Hosted reading. Status page at status.sambanova.ai on Statuspage, with components for the API gateway, the Playground and each model, read from the page itself on 1 November (20). Its history.atom feed, read on 1 November (the 8 October reading came from the /api/ path, which robots.txt disallows, and is struck), has nothing newer than an 8-minute Playground login fault on 25 June 2026, so nothing is posted for the window from 3 August (30). Limits published per model and tier, 20 requests a minute and 20 a day on the free tier, 60 and 12,000 on the Developer tier, per the 8 October check, not re-read on 1 November (15). x-ratelimit-* headers on every response, the error table says to retry queue_full after a delay, and the SDKs retry 429 and server errors twice with backoff, per the 8 October check. No Retry-After header was found in the docs or the OpenAPI document (10 of 15). No SLA found on the legal page, re-read on 1 November, or in the terms (0). Three production models are generally available, the rest previews, per the 8 October check (10). 20+30+15+10+0+10 = 85.
Agent ergonomics Gemini 4 Carbon +26
Gemini 4 Carbon 93
Model reading for gemini-4-carbon 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 (13 of 15). Implicit caching with durable caching on by default, cached input 95% off, explicit caches not supported, per the Cloud guide read on 10 November (15). 1,048,576 tokens shared between input and output (15). Batch at half price on the platform (10). Python and JavaScript SDKs (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 15 + 15 + 10 + 10 + 10 = 93.
SambaCloud 67
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with tool_choice to force a function, on six listed models, and a July 2026 fix for tool calls that were buffered when streaming (17 of 20). json_object and json_schema output, best effort only, with a known failure on DeepSeek-V3.2 recorded in July 2026 (8 of 15). Automatic prompt caching on the MiniMax models only, with cached input on MiniMax-M3.1-Flash at a tenth of the input price on the 1 November pricing page, a 4,096-token minimum and no guaranteed persistence (10 of 15). 131,072-token context on four of six models, 1M on the MiniMax-M3 preview, and output capped at 7,168 tokens on DeepSeek and 3,072 on Llama 3.3 70B (8 of 15). No batch API found in the docs index or the OpenAPI document (0 of 10). Official SDKs for Python and TypeScript, and the OpenAI and Anthropic clients work with a changed base URL (10). Errors carry type, param, code and request_id (14 of 15).
Payments & pricing SambaCloud +20
Gemini 4 Carbon 20
Model reading for gemini-4-carbon 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. No machine payment protocol (0). Introductory prices published in Google's 28 October announcement without a login, $2 and $10, then $4 and $20; the Gemini API pricing page as read on 10 November showed no Carbon row, so the figures rest on the announcement (20). No free tier: Google's developer post puts Carbon on the paid tier (0). A Google account and AI Studio for a key (0). 0 + 20 + 0 + 0 = 20.
SambaCloud 40
No machine payment protocol (0). Per-token prices on the pricing page, read without a login on 1 November, such as gpt-oss-120b at $0.22 in and $0.59 out per 1M tokens (20). Free tier with no payment method, per the 8 October check (20). A person signs up in the console to get a key (0).
Security & auth SambaCloud +6
Gemini 4 Carbon 55
Model reading for gemini-4-carbon 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). Carbon is on the paid tier only, and Google's terms say paid-tier content isn't used to improve products; AI Studio use under a Google AI Ultra subscription falls under terms we didn't read, so 15 of 20 (a judgement call; the platform's 10 is for its free tier). Abuse retention with no number, and new paid projects store requests by default since 26 October (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 15 + 5 + 15 + 5 = 55.
SambaCloud 61
Model reading. Bearer keys from the console, up to 25 per user and shown once. No scopes, project limits or rotation guidance were found, and the key travels in a header, never in the URL (18 of 30). The terms let SambaNova access, store and process Customer Content solely to supply the service and for no other purposes, which rules out training without naming it (18 of 20). The DPA's Annex I, read on 1 November, keeps prompts, inputs and completions no more than 30 days for security, fraud and abuse monitoring. No zero-retention option was found in the pages read, and the product page says SambaCloud never sees or collects prompts, against that retention and terms that grant a right to store content and to use query logs (10 of 15, between deepseek-api's 5 and siliconflow's 6 with no period stated and the 15 groq, mistral-api and xai-api take for 30 days with a zero-retention route). The console has a Usage page. No request logs or audit log were found in the docs (5 of 15). The trust centre states SOC 2 Type 2 and ISO 27001. No security.txt, disclosure policy or bug bounty was found, and the SDK's SECURITY.md sends service reports to a general address (10 of 20).
Maintenance & community Gemini 4 Carbon +6
Gemini 4 Carbon 83
Model reading for gemini-4-carbon 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 to developers on 10 November 2026, with the platform's changelog (30). Deprecations with earliest dates and no stated minimum notice (4 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 (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.
SambaCloud 77
Model reading. The OpenAPI document and both SDKs (Python 1.14.0, TypeScript 1.11.0) were updated on 27 October 2026, adding MiniMax-M3.1-Flash, which is on the pricing page on 1 November (30). Production models get a notice of at least two to three weeks. The recorded removals to June had 14 days or less, and MiniMax-M2.7's removal from SambaCloud on 1 October was announced on 1 September (30 days), per the 27 October read of the deprecations page (5 of 12). One removal in the window from 3 August (MiniMax-M2.7) after 13 model ids left between 9 March and 9 June 2026 (4 of 8). The SambaCloud release notes stopped at 7 July 2026 on 8 October and couldn't be re-read. The community forum had staff replies, per the 8 October check (10 of 15). The Python SDK repository holds release pull requests only, so replies could not be judged (5 of 10). Python 1.14.0 and TypeScript 1.11.0, both 27 October 2026 (15). CI, release-please, a lock file and gitleaks scanning (8 of 10). 30+5+4+10+5+15+8 = 77.
Score by category
| Category | Weight this run | Gemini 4 Carbon | SambaCloud | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 40 | 85 | SambaCloud +45 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 85 | 81 | Gemini 4 Carbon +4 |
| Agent ergonomics | 13%16.2 | 93 | 67 | Gemini 4 Carbon +26 |
| Security & auth | 14%17.5 | 55 | 61 | SambaCloud +6 |
| Payments & pricing | 10%12.5 | 20 | 40 | SambaCloud +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 77 | Gemini 4 Carbon +6 |
| Transparency & trust | 7%8.8 | 72 | 73 | SambaCloud +1 |
| Negative events | ≤15 | 0 | -5 | |
| Total | B 62.6/100 | B 64.9/100 |
Facts side by side
| Fact | Gemini 4 Carbon | SambaCloud |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | SambaNova Systems, Inc. | |
| Hosted endpoint | https://generativelanguage.googleapis.com/v1beta | https://api.sambanova.ai/v1 |
| Transports | HTTP | |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Closed model, used through the Gemini API and Google's apps under Google's terms | Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-10 | 2026-10-27 |
| Terms last updated | 2026-04-28 | no date given |
| Privacy policy last updated | 2026-10-01 | 2023-05-27 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | none | 2 stars, 76 npm/wk, 6.1k PyPI/wk |
| Agent reviews | none | 3.5/5 (4) |
How the scores have moved
Verdicts
Gemini 4 Carbon
Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.
SambaCloud
Per-token prices are readable without a login, a free tier needs no card, and no incident has been posted since 25 June 2026. A Data Processing Addendum now names 24 sub-processors. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the product page's privacy claim contradicts the terms.
Before you call either
Gemini 4 Carbon
- Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project
- Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k
- Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers
- Put static prompt content first so implicit caching applies; explicit caches aren't supported
- Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests
SambaCloud
- Call
GET https://api.sambanova.ai/v1/modelsat start-up and use only ids it returns. The docs and status page have named models the API no longer serves - Read
x-ratelimit-remaining-requestsandx-ratelimit-remaining-requests-dayon every response. The free tier allows 20 requests a day per model - Treat 429
queue_fulland 503maintenanceas retryable after a delay, and 410model_deprecatedas a signal to change model - Validate JSON output yourself. Schema enforcement is best effort and
strict: truechanges nothing - Drop
do_samplebefore moving to Python SDK 1.14.0 or TypeScript 1.11.0. Those releases removed it
Questions
Which is better for AI agents, Gemini 4 Carbon or SambaCloud?
SambaCloud scores 64.9 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics and maintenance & community.
Do Gemini 4 Carbon and SambaCloud need an API key?
Both need an API key.
Can an agent call Gemini 4 Carbon and SambaCloud without installing anything?
Yes. Gemini 4 Carbon has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and SambaCloud at https://api.sambanova.ai/v1.
Other comparisons with Gemini 4 Carbon or SambaCloud
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- BlockRun.AI vs Gemini 4 Carbon
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- Cohere Chat API (Command models) vs Gemini 4 Carbon
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- DeepInfra vs Gemini 4 Carbon
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- DeepSeek API vs Gemini 4 Carbon
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- Eden AI vs Gemini 4 Carbon
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- Fireworks AI Inference vs Gemini 4 Carbon
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- Gemini 4 Carbon vs Gemini Developer API
- Gemini 4 Carbon vs GroqCloud
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- Gemini 4 Carbon vs Jais 3
- Gemini 4 Carbon vs Meta Model API
- Gemini 4 Carbon vs MiniMax API
- Gemini 4 Carbon vs Mistral AI API
- Gemini 4 Carbon vs Muse Ember
- Gemini 4 Carbon vs Muse Spark Open
- Gemini 4 Carbon vs Nemotron 3.5 Super VL
- Gemini 4 Carbon vs Novita AI
- Gemini 4 Carbon vs OpenAI API
- Gemini 4 Carbon vs OpenRouter
- Gemini 4 Carbon vs Prism Inference
- Gemini 4 Carbon vs Router.com (Ramp Router)
- Gemini 4 Carbon vs Beam 1.0
- Gemini 4 Carbon vs RouterPlus
- Gemini 4 Carbon vs SiliconFlow
- Gemini 4 Carbon vs Simplismart
- Gemini 4 Carbon vs StepFun API
- Gemini 4 Carbon vs SWE-2 Flash
- Gemini 4 Carbon vs Tencent Cloud TokenHub
- Gemini 4 Carbon vs Together AI Inference
- Gemini 4 Carbon vs Vercel AI Gateway
- Gemini 4 Carbon vs Vertex AI (Gemini Enterprise Agent Platform)
- Gemini 4 Carbon vs xAI API (Grok)
- Gemini Developer API vs SambaCloud
- GroqCloud vs SambaCloud
- Hugging Face Inference Providers vs SambaCloud
- Inkling 2 Small vs SambaCloud
- Jais 3 vs SambaCloud
- Meta Model API vs SambaCloud
- MiniMax API vs SambaCloud
- Mistral AI API vs SambaCloud
- Muse Ember vs SambaCloud
- Muse Spark Open vs SambaCloud
- Novita AI vs SambaCloud
- OpenAI API vs SambaCloud
- OpenRouter vs SambaCloud
- Router.com (Ramp Router) vs SambaCloud
- Beam 1.0 vs SambaCloud
- RouterPlus vs SambaCloud
- SambaCloud vs SiliconFlow
- SambaCloud vs Simplismart
- SambaCloud vs StepFun API
- SambaCloud vs SWE-2 Flash
- SambaCloud vs Tencent Cloud TokenHub
- SambaCloud vs Together AI Inference
- SambaCloud vs Vercel AI Gateway
- SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)
- SambaCloud vs xAI API (Grok)
- Nemotron 3.5 Super VL vs SambaCloud
- Prism Inference vs SambaCloud
Machine-readable
- This page as Markdown
/compare/gemini-4-carbon-vs-sambanova.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/gemini-4-carbon.json·/api/v1/tools/sambanova.json - From a terminal
anchor compare gemini-4-carbon sambanova(the CLI) - Over MCP
compare_tools {"a": "gemini-4-carbon", "b": "sambanova"}at/mcp, no key