Anthropic vs Particle.AI

Particle.AI serves cheap Flash-class open models with 1M context through Vercel AI Gateway. Anthropic serves closed Claude. A price-optimized fallback route versus a primary frontier model.

By The Subconscious Team · Updated September 30, 2026

Anthropic vs Particle.AI: key differences

Particle.AI is an early San Francisco startup whose product is easiest to see on Vercel AI Gateway. There it serves DeepSeek V4.1 Flash at $0.25 in and $1 out at about 157 tokens per second, GLM 5.3 Flash at $0.10 in and $0.40 out, and DeepSeek V4 Flash 0731 at $0.14 in and $0.28 out, all with 1M context and $0.03 cache reads. Anthropic matches the context length on its top tiers, but even Haiku 4.5 costs $1 in and $5 out. On price, Particle wins by a wide margin.

On most everything else, Anthropic leads. Particle is a very early company with a tiny catalog and little public track record, and some listings are slow to start, like 3.5 seconds of latency on DeepSeek V4.1 Flash. Claude has top coding results, wide adoption and distribution on every major cloud. The natural fit is a multi-provider gateway where Claude handles the demanding requests and Particle is a cheap route or fallback for high-volume Flash-class calls, available without a new contract.

What Anthropic and Particle.AI do

Anthropic

Anthropic sells the Claude family of closed models through its own API, Amazon Bedrock, Google Vertex AI and Microsoft Foundry. The public lineup today runs from Claude Fable 5.1 at the top, released September 1, 2026, through the Opus and Sonnet tiers down to Haiku 4.5. List prices span a tenfold range, from $10 in and $50 out on Fable to $1 in and $5 out on Haiku. The top three tiers include a 1M token context window at standard pricing with no surcharge past 200K.

Example models: Claude Fable 5.1, Claude Haiku 4.5

Full Anthropic profile

Particle.AI

Particle AI is an early San Francisco infrastructure startup with a mission to make intelligence as cheap and abundant as electricity. The team works on post-training, inference optimization and distributed systems, all aimed at pushing down cost per unit of intelligence. It is still hiring its founding team and works fully in person. Public detail about funding and founders is thin as of this writing.

Example models: DeepSeek V4.1 Flash, GLM 5.3 Flash

Full Particle.AI profile

Should you choose Anthropic or Particle.AI?

Anthropic

Choose Anthropic for

Primary model for coding and research agents
Workloads that need a proven vendor
Hard tasks Flash-class models get wrong

Particle.AI

Choose Particle.AI for

Cheap high-volume calls on DeepSeek and GLM Flash
Price-optimized fallback in Vercel AI Gateway
1M-context open models with $0.03 cache reads

Anthropic vs Particle.AI at a glance

Attribute	Anthropic	Particle.AI
Model access	Closed	Open weights
Flagship models	Claude Fable 5.1, Opus, Sonnet, Haiku 4.5	DeepSeek V4.1 Flash, GLM 5.3 Flash
Speed	Fable is the slowest tier	~157 tok/s on DeepSeek V4.1 Flash
Price	$1–$10 in, $5–$50 out per 1M	$0.10 in, $0.40 out (GLM 5.3 Flash)
Customization	N/A	Unknown
Deployment	API, Bedrock, Vertex AI, Microsoft Foundry	Via Vercel AI Gateway
Long context	1M, no surcharge past 200K	1M

Frequently asked questions

What is the difference between Anthropic and Particle.AI?

Particle.AI serves cheap Flash-class open models with 1M context through Vercel AI Gateway. Anthropic serves closed Claude. A price-optimized fallback route versus a primary frontier model.

When should I choose Anthropic over Particle.AI?

Primary model for coding and research agents; Workloads that need a proven vendor; Hard tasks Flash-class models get wrong.

When should I choose Particle.AI over Anthropic?

Cheap high-volume calls on DeepSeek and GLM Flash; Price-optimized fallback in Vercel AI Gateway; 1M-context open models with $0.03 cache reads.

Is Anthropic or Particle.AI cheaper?

Anthropic: $1–$10 in, $5–$50 out per 1M. Particle.AI: $0.10 in, $0.40 out (GLM 5.3 Flash). The cheaper choice depends on the model and workload.

Which has more context, Anthropic or Particle.AI?

Anthropic: 1M, no surcharge past 200K. Particle.AI: 1M.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

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