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Anthropic vs Wafer
Wafer tunes open models to run faster on the same weights and sells flat-rate access that drops into Claude Code. It is a budget open-model route next to Anthropic's closed frontier models.
By The Subconscious Team · Updated
Anthropic vs Wafer: key differences
Wafer uses AI agents to tune GPU serving stacks, then sells inference on the result. It reports its tuned Qwen 3.5 397B running 2.8x faster than stock SGLang, and GLM 5.1 and DeepSeek V4 Pro each 2x faster than a vLLM baseline, all self-reported against stock setups. Wafer Pass, a flat subscription from $10 a week, covers every hosted model and plugs into Claude Code, Cline and OpenHands. Anthropic's models cost far more per token, from $1 in on Haiku 4.5 to $10 in on Fable 5.1, but they lead on coding benchmarks and carry 1M context.
Developers watching their spend can put Wafer Pass inside the same harness they use with Claude and move routine work to it. Teams with a strict latency SLO and no kernel engineers can buy a dedicated Wafer deployment that keeps retuning on NVIDIA or AMD hardware. Wafer is a very young company with a small hosted catalog, and its speedups should be checked against tuned hosts rather than stock baselines. For hard coding, long unattended runs and enterprise procurement, Anthropic is the safer bet.
What Anthropic and Wafer 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 profileWafer
Wafer builds AI agents that act as GPU performance engineers, then sells inference on the stacks those agents tune. The company came out of Y Combinator's Summer 2025 batch as a "Cursor for CUDA" that turned slow PyTorch into custom kernels. Founders Emilio Andere and Steven Arellano are based in San Francisco. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.
Example models: Qwen 3.5 397B Turbo, GLM 5.1 Turbo
Full Wafer profileShould you choose Anthropic or Wafer?
Anthropic
Choose Anthropic for
- Hard coding tasks where frontier quality matters
- Enterprise buyers needing an established vendor
- Long contexts on managed models
Wafer
Choose Wafer for
- Flat-rate open models inside Claude Code or Cline
- Dedicated endpoints tuned to a latency SLO
- Teams hedging across NVIDIA and AMD
Anthropic vs Wafer at a glance
| Attribute | Anthropic | Wafer |
|---|---|---|
| Model access | Closed | Open weights |
| Flagship models | Claude Fable 5.1, Opus, Sonnet, Haiku 4.5 | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | Fable is the slowest tier | 2–2.8x vs stock vLLM or SGLang |
| Price | $1–$10 in, $5–$50 out per 1M | Wafer Pass from $10 a week |
| Customization | N/A | Agent-tuned dedicated deployments |
| Deployment | API, Bedrock, Vertex AI, Microsoft Foundry | Serverless pass, dedicated |
| Long context | 1M, no surcharge past 200K | Varies by model |
Frequently asked questions
What is the difference between Anthropic and Wafer?
Wafer tunes open models to run faster on the same weights and sells flat-rate access that drops into Claude Code. It is a budget open-model route next to Anthropic's closed frontier models.
When should I choose Anthropic over Wafer?
Hard coding tasks where frontier quality matters; Enterprise buyers needing an established vendor; Long contexts on managed models.
When should I choose Wafer over Anthropic?
Flat-rate open models inside Claude Code or Cline; Dedicated endpoints tuned to a latency SLO; Teams hedging across NVIDIA and AMD.
Is Anthropic or Wafer cheaper?
Anthropic: $1–$10 in, $5–$50 out per 1M. Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.
Which has more context, Anthropic or Wafer?
Anthropic: 1M, no surcharge past 200K. Wafer: Varies by model.
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.