Nebius Token Factory runs European infrastructure and does something no other provider in the Atlas registry does: it ships explicit `-fast` variants that trade context for latency. Qwen3.5-397B-A17B-fast is the same $0.60/$3.60 per Mtok as the standard model but with an 8,000 token window instead of 262,144. Inside Atlas, the terminal-native coding agent, Nebius Token Factory is the pick when data residency rules out both US hyperscalers and China-hosted first-party APIs. Plan around an 8,192 token max output on nearly every model.
What is Nebius Token Factory best at inside Atlas?
Nebius Token Factory is best inside Atlas for EU data residency. Nebius runs EU-operated infrastructure, which is a real answer when residency rules out both US hyperscalers and China-hosted first-party APIs. In 2026 no other open-weights host in the Atlas registry offers that combination.
The catalog backs the residency pitch with models almost nobody else hosts: NousResearch Hermes-4-405B at $1.00/$3.00 per Mtok, and PrimeIntellect INTELLECT-3 at $0.20/$1.10. Alongside those, Nebius Token Factory carries Qwen3.5-397B-A17B at $0.60/$3.60 per Mtok with a 262,144 token context, gpt-oss-120b at $0.15/$0.60, Llama-3.3-70B at $0.13/$0.40, and DeepSeek-V3.2 at $0.30/$0.45. Pair Nebius Token Factory with an Atlas capability that keeps the rest of the loop local: Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers, so the search vectors never leave the machine even while generation runs in the EU.
What are the -fast variants on Nebius Token Factory?
The Nebius Token Factory `-fast` variants (Qwen3.5-397B-A17B-fast, MiniMax-M2.5-fast, gpt-oss-120b-fast, DeepSeek-V3.2-fast) hold context at 8,000 tokens to cut time-to-first-token. That is an explicit latency lever no other host in the 2026 Atlas registry exposes, and the tradeoff is severe.
An 8,000 token context cannot hold a meaningful slice of a real repository. Nebius Token Factory `-fast` rows are chat variants, not agent variants, and pinning one in Atlas by accident will produce a model that cannot see enough of your code to work. Run `atlas models nebius` and note which rows are `-fast` before you pin one. The pricing is identical, which is what makes the mistake easy: Qwen3.5-397B-A17B-fast costs the same $0.60/$3.60 per Mtok as the standard model, so nothing in the price column warns you that the window collapsed from 262,144 tokens to 8,000.
What context window does Nebius Token Factory give Atlas?
Nebius Token Factory reaches 1,000,000 tokens on DeepSeek V4 Pro, 432,000 tokens on GLM-5.2, and 262,144 tokens on Qwen3.5-397B-A17B. The input side is generous. The output side is not: max output is 8,192 tokens on nearly every Nebius model, including that 262,144-context Qwen3.5-397B-A17B.
For an Atlas user, the 8,192 token output cap is the number that changes how you work. Atlas computes a unified diff for every file edit and surfaces it for approval before writing, and 8,192 tokens will truncate a large multi-file diff. The documented mitigation is to keep Atlas's unified-diff review on and let the agent write files incrementally rather than in one giant emission. Atlas snapshots file changes as git patches so edits can be diffed and rolled back, which makes an incremental, many-small-writes workflow safe rather than frightening.
How much does Nebius Token Factory cost per million tokens?
Nebius Token Factory prices Qwen3.5-397B-A17B at $0.60/$3.60 per Mtok, gpt-oss-120b at $0.15/$0.60, Hermes-4-405B at $1.00/$3.00, INTELLECT-3 at $0.20/$1.10, Llama-3.3-70B at $0.13/$0.40, and DeepSeek-V3.2 at $0.30/$0.45. Llama-3.3-70B at $0.13 input is the cheapest row.
Nebius Token Factory is not the cheapest open-weights host, and it does not need to be, because the reason to choose it is EU-operated infrastructure and models nobody else carries. Qwen3.5-397B-A17B at $0.60/$3.60 per Mtok has an output rate 6x its input rate, so the 8,192 token output cap and the output price both push in the same direction: keep Atlas emissions small and incremental. DeepSeek-V3.2 at $0.30/$0.45 is the most balanced row in the catalog, with output only 1.5x input.
When should I pick a different provider than Nebius Token Factory?
Pick a different provider than Nebius Token Factory when your Atlas workflow depends on emitting large diffs in one shot, because max output is 8,192 tokens on nearly every Nebius model. Baseten, by contrast, offers 262,000 max output on Kimi K2.7 Code.
Nebius Token Factory is a residency-first choice. If EU-operated infrastructure is not a requirement for you, the 8,192 token output cap is a real cost with no offsetting benefit, and a host with larger output limits will serve an Atlas build agent better. If EU residency is a requirement, the cap is a constraint you work around, not a reason to leave. Also avoid the `-fast` rows entirely for agent work: an 8,000 token context is a chat window, not an agent window, and Atlas indexes code by AST declarations using tree-sitter, not blind line windows, but even targeted retrieval needs more than 8,000 tokens to plan a real change.
Setup
- 01Export NEBIUS_API_KEY. Atlas resolves the base URL https://api.tokenfactory.nebius.com/v1 through @ai-sdk/openai-compatible.
- 02Run `atlas models nebius` and note which rows are `-fast` before you pin one by accident. The `-fast` rows cost the same but hold context at 8,000 tokens.
- 03Pin `"model": "nebius/Qwen/Qwen3.5-397B-A17B"` in atlas.json, the 262,144-token standard variant, not the `-fast` row.
- 04Given the 8,192 token output cap, keep Atlas's unified-diff review on and let it write files incrementally rather than in one giant emission.
- 05Point the Atlas codebase index at local Ollama embeddings so search vectors stay off third-party servers while generation runs on EU infrastructure.
Frequently asked questions
- how to use nebius token factory with atlas
- Export NEBIUS_API_KEY, run `atlas models nebius`, then pin `"model": "nebius/Qwen/Qwen3.5-397B-A17B"` in atlas.json. Atlas resolves the base URL https://api.tokenfactory.nebius.com/v1 through @ai-sdk/openai-compatible. Avoid the `-fast` rows for agent work.
- what are the nebius -fast model variants
- Qwen3.5-397B-A17B-fast, MiniMax-M2.5-fast, gpt-oss-120b-fast, and DeepSeek-V3.2-fast hold context at 8,000 tokens to cut time-to-first-token. They cost the same as the standard rows but cannot hold a meaningful slice of a real repository, so they are chat variants, not agent variants.
- what is the output token limit on nebius token factory
- Max output is 8,192 tokens on nearly every Nebius model, including the 262,144-context Qwen3.5-397B-A17B. That will truncate a large multi-file diff, so let the agent write files incrementally rather than in one giant emission.
- how much does nebius token factory cost per million tokens
- Qwen3.5-397B-A17B is $0.60/$3.60 per Mtok, gpt-oss-120b is $0.15/$0.60, Hermes-4-405B is $1.00/$3.00, INTELLECT-3 is $0.20/$1.10, Llama-3.3-70B is $0.13/$0.40, and DeepSeek-V3.2 is $0.30/$0.45.
- is there an eu hosted model provider for ai coding agents
- Yes. Nebius Token Factory runs EU-operated infrastructure, which is a real answer when data residency rules out both US hyperscalers and China-hosted first-party APIs. Export NEBIUS_API_KEY and Atlas resolves https://api.tokenfactory.nebius.com/v1.
- what context window does nebius support
- Nebius Token Factory reaches 1,000,000 tokens on DeepSeek V4 Pro, 432,000 tokens on GLM-5.2, and 262,144 tokens on Qwen3.5-397B-A17B. The `-fast` variants are capped at 8,000 tokens.
- which providers host hermes-4-405b and intellect-3
- Nebius Token Factory carries both, and almost nobody else does. NousResearch Hermes-4-405B is $1.00/$3.00 per Mtok and PrimeIntellect INTELLECT-3 is $0.20/$1.10 per Mtok on Nebius.
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