Morph Models API Cost Calculator & Comparison

Every Morph model, side by side — current API rates, context window, benchmarks, and a live calculator that ranks them at your exact workload. 2 active models, 2 with public pricing. Prices refreshed daily.

Models tracked

2

Active

2

With public pricing

2

Cheapest input

$0.80/1M

Calculate your Morph API cost at your workload.

Set your workload — every priced model ranks in real time.

Adjust the workload

Every model below updates in real time.

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Ranked by your monthly bill

No models with public pricing available to compare right now.

Pricing at a glance

Blended $/1M tokens across the lineup.

Blended price uses a 3-to-1 input/output ratio. Green bar = cheapest.

Quick picks

Best Morph model for your use case.

As of April 2026, Morph offers 2 active models via API, ranging from $0.80/1M to $0.90/1M input tokens. The most context-rich model handles up to 262K tokens. All prices are USD per 1 million tokens.

Lowest cost

Morph V3 Fast

$0.80/1M input

Largest context

Morph V3 Large

262K tokens

Quality vs price

Morph benchmarks at a glance.

No benchmark data yet for Morph.

Every model

Every Morph model — pricing, context & capabilities.

ModelContextInput /1MOutput /1M
Morph V3 Fast82K$0.8$1.20
Morph V3 Large262K$0.9$1.90

FAQ

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Pricing patterns, best-known use cases, and how this provider stacks up.

Get instant answers from our AI agent

Morph API pricing ranges from $0.80 to $0.90 per 1M input tokens. Output tokens cost more than input on every model. Prices are per 1 million tokens (1M ≈ 750,000 words). Use the calculator above to estimate your monthly spend at your actual workload.
Morph V3 Fast is the lowest-priced Morph model with public pricing at $0.80/1M input tokens. It suits high-volume tasks where cost matters most — classification, extraction, summarization, and similar workloads that don't need frontier reasoning.
Morph V3 Large is Morph's highest-tier model at $0.90/1M input. It delivers the most sophisticated reasoning, instruction-following, and nuance. For workloads that don't require frontier performance, a mid-tier model typically cuts inference costs substantially.
Yes — Morph supports prompt caching (discounts for repeated context) and batch processing (accept a delay, cut costs ~50%). These rates appear in the table above under "Cached /1M" and "Batch /1M." Caching pays off quickly if your prompts share a long system prompt or document prefix across many calls.
Morph has historically adjusted prices when launching new model generations, often cutting rates to stay competitive. Buzzi.ai snapshots pricing daily — you can subscribe to price-drop alerts on any Morph model using the "Alert me" button on its detail page.
Use the main comparison wizard to run the same calculator across Morph, Anthropic, Google, Meta, Mistral, and 20+ other providers. Set your exact workload and get a ranked cost chart in under a minute.

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