Model index · Text · text generation · reasoning · open weights · DeepSeek · released 2025-05-28
R1 pricing
Served by 4 providers from $1.15 to $4.00 per 1M tokens on the standard tier — a 3.5× gap for identical weights.
A reasoning model — the headline price is not the whole bill
This model thinks before it answers, and those thinking tokens are billed at the output rate while never appearing in the response. A request can therefore cost several times what the per-1M figure suggests, and the multiplier depends on your prompts rather than on anything we can publish. Compare it against other reasoning models — the alternatives below are ordered to put those first.
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
DeepSeek · 684.53B parameters · mit · first published 2025-05-28 · Text model · text generation · 164k context · description as published by the source, not written by us
Open weights: deepseek-ai/DeepSeek-R1 · 684.53B parameters counted from the weight files · licence mit · 8.5M downloads in the last 30 days . Parameter count and licence come from the public weights registry, not from a seller — and the download figure exists only for models published this way, so it is not a market-wide popularity measure.
$1.15
Cheapest standard /1M — OpenRouter (default route)
164k
Native context window
4
Providers serving it
—
Quality not measured yet
Quality not measured yet
We measure models on request rather than pre-scoring the whole catalog, so this one has no score yet. Absence of a score is not a low score.
At 1M requests/month (1500 in / 500 out tokens), moving from Novita to Novita saves about $5,700/month.
Illustrative traffic shape, stated so you can check it against your own. Same weights both sides — but confirm quantisation and context below before switching.
Every provider and service tier
Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.
| Provider | In /1M | Out /1M | Blended /1M | Tier | Region | Source |
|---|---|---|---|---|---|---|
| Novita cheapest standard | $0.7000 | $2.50 | $1.15 | standard | — | third_party |
| OpenRouter (default route) * resells other hosts | $0.7000 | $2.50 | $1.15 | standard | — | provider_api |
| Azure | $1.49 | $5.94 | $2.60 | standard | — | third_party |
| Novita | $4.00 | $4.00 | $4.00 | standard | — | provider_api |
* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.
Compare R1 with alternatives
One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.
| Alternative | Vendor | $/1M | vs R1 | Quality | Kind | Context | Hosts |
|---|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | Anthropic | $2.00 Anthropic | 74% dearer | 60/100 | reasoning | 200k | 8 |
| Gemini 3.6 Flash | $1.50 OpenRouter (default route) | 30% dearer | 0/100 | reasoning | 1.05M | 7 | |
| GPT-5.4 Mini | OpenAI | $1.69 OpenAI | 47% dearer | 80/100 | reasoning | 400k | 4 |
| Qwen3 VL 235B A22B Thinking | Alibaba | $1.21 DeepInfra | 5% dearer | 100/100 | reasoning open weights | 131k | 4 |
| Kimi K2.5 | MoonshotAI | $0.7875 DigitalOcean | 32% cheaper | 75/100 | reasoning open weights | 262k | 14 |
| Mistral Medium 3.5 | Mistral | $3.00 Mistral | 161% dearer | not measured | reasoning | 262k | 1 |
| GLM 5.1 | Z.ai | $1.48 StreamLake | 29% dearer | not measured | reasoning open weights | 205k | 18 |
| MiMo-V2.5-Pro | Xiaomi | $0.5438 Xiaomi | 53% cheaper | not measured | reasoning open weights | 1.05M | 7 |
Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.
2 of these alternatives cost less than R1 — the cheapest being MiMo-V2.5-Pro at $0.5438 per 1M tokens blended (53% cheaper).
Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.
Before you switch
Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.
Move to Novita without a rewrite
VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.
Try VernaOne free →Frequently asked
How much does R1 cost?
The cheapest standard-tier provider is Novita at $1.15 per 1M tokens blended (3:1 input:output). The dearest is Novita at $4.00 — a 3.5× difference for the same weights. Prices change often; verify with the provider before budgeting.
Which provider is best for R1?
Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.
Can I switch providers for R1 without changing code?
Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.
← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.