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Vendor specs verified October 11, 2026

AI Model & Voice
Specification Comparison

Published pricing and latency for the models and voice engines used to build AI agents, each figure quoted from the vendor's own page and linked to it.

Executive Summary / AI Insights

What this page is

A dated snapshot of what AI model and voice vendors publish about their own products: token pricing and, where the vendor states one, latency. PxlPeak has not run a benchmark and does not present these as measurements. Vendor-published latency is a best-case figure produced on the vendor's own infrastructure.

Key Takeaways

Every figure links to the vendor page it was read from, on the date it was read.
Latency figures are not comparable to each other: component latency and end-to-end turn latency are different quantities.
Where a vendor publishes no figure, this page says so rather than estimating one.
For full cost modelling including voice, speech and automation tiers, see the AI Agent Pricing Index.

Model pricing

Published list price per 1M tokens. Capability scores are deliberately absent PxlPeak runs no evaluation, and any “logic” or “coding” score shown without a named benchmark behind it is an invented number.

ModelInput / 1MOutput / 1M
Claude Fable 5.1
Anthropic

Replaces Fable 5, which stays available as a legacy model at the same price.

platform.claude.com— source for Claude Fable 5.1 pricing, opens in a new tab
$10.00$50.00
Claude Opus 5.5
Anthropic

Replaces Opus 5, which stays available as a legacy model at $5.00 / $25.00.

platform.claude.com— source for Claude Opus 5.5 pricing, opens in a new tab
$4.00$20.00
Claude Sonnet 5.5
Anthropic

Legacy Sonnet 5 is also $2.00 / $10.00: Anthropic made its introductory rate permanent and cancelled the rise to $3.00 / $15.00 it had scheduled for 2026-09-01.

platform.claude.com— source for Claude Sonnet 5.5 pricing, opens in a new tab
$2.00$10.00
Claude Haiku 5.5
Anthropic

Prompts up to 100,000 tokens; $0.50 / $2.50 above that. Replaces Haiku 4.5, which stays available as a legacy model at $1.00 / $5.00.

platform.claude.com— source for Claude Haiku 5.5 pricing, opens in a new tab
$0.10$0.50
gpt-6-astra
OpenAI

Standard tier, short context, as are the other GPT-6 rows.

developers.openai.com— source for gpt-6-astra pricing, opens in a new tab
$10.00$50.00
gpt-6.1-sol
OpenAI
developers.openai.com— source for gpt-6.1-sol pricing, opens in a new tab
$2.00$10.00
gpt-6-luna
OpenAI
developers.openai.com— source for gpt-6-luna pricing, opens in a new tab
$0.10$0.50
GPT-5.6-sol
OpenAI

Standard tier, short context; long-context prompts are billed higher. Promotional pricing the vendor says runs at least through November 21, 2026. Was $5.00 / $30.00 when read on 2026-08-03.

developers.openai.com— source for GPT-5.6-sol pricing, opens in a new tab
$4.00$20.00
GPT-5.6-terra
OpenAI
developers.openai.com— source for GPT-5.6-terra pricing, opens in a new tab
$2.00$12.00
GPT-5.6-luna
OpenAI
developers.openai.com— source for GPT-5.6-luna pricing, opens in a new tab
$0.20$1.20
Gemini 3.1 Pro Preview
Google

Prompts at or under 200k tokens; $4.00 / $18.00 above that.

ai.google.dev— source for Gemini 3.1 Pro Preview pricing, opens in a new tab
$2.00$12.00
Gemini 3.8 Flash
Google

Price runs through 2026-12-31; $1.50 / $7.50 from 2027-01-01.

ai.google.dev— source for Gemini 3.8 Flash pricing, opens in a new tab
$0.75$3.75
Gemini 3.5 Flash-Lite
Google
ai.google.dev— source for Gemini 3.5 Flash-Lite pricing, opens in a new tab
$0.30$2.50
DeepSeek-V4.1-Flash
DeepSeek

API name deepseek-flash. Off-peak cache-miss input / off-peak output; peak doubles both ($0.30 / $1.20). Peak is 01:00-04:00 and 06:00-10:00 UTC, Monday to Friday. Cache-hit input is $0.003 off-peak. Replaces DeepSeek-V4-flash, which was $0.22 / $0.66 off-peak on 2026-09-02; the old name is still accepted and served by V4.1-Flash.

api-docs.deepseek.com— source for DeepSeek-V4.1-Flash pricing, opens in a new tab
$0.15$0.60
DeepSeek-V4-pro
DeepSeek

Off-peak cache-miss input / off-peak output. Peak doubles both ($1.32 / $3.96). Cache-hit input is $0.022 off-peak. Was a flat $0.435 / $0.87 on 2026-08-03; the peak-hour pricing this row previously flagged as announced is now live.

api-docs.deepseek.com— source for DeepSeek-V4-pro pricing, opens in a new tab
$0.66$1.98

Published voice latency

The figures measure different things. A text-to-speech model latency covers one component; a platform's end-to-end response time covers speech recognition, model inference, speech synthesis and network round trips together. A component number will always look faster than an end-to-end number, and ranking them against each other would be meaningless.

ProductWhat the figure measuresVendor states
Flash / Turbo TTS
ElevenLabs
elevenlabs.io— source for Flash / Turbo TTS latency, opens in a new tab
Text-to-speech model latency only~75ms
Multilingual v2/v3 TTS
ElevenLabs
elevenlabs.io— source for Multilingual v2/v3 TTS latency, opens in a new tab
Text-to-speech model latency only~250–300ms
Scribe v2 Realtime STT
ElevenLabs
elevenlabs.io— source for Scribe v2 Realtime STT latency, opens in a new tab
Speech-to-text streaming latency only~150ms
Aura-2 TTS
Deepgram
deepgram.com— source for Aura-2 TTS latency, opens in a new tab
Streaming text-to-speech latency onlysub-200ms
Voice agent platform
Vapi
docs.vapi.ai— source for Voice agent platform latency, opens in a new tab
Full end-to-end response time, one conversational turnsub-600ms

Retell AI:Publishes per-minute pricing and a cost calculator, but no end-to-end latency figure was found on its pricing page.retellai.com— source for Retell AI pricing, opens in a new tab

How this page was compiled

What it is
Latency figures each vendor publishes about its own product, quoted as published and dated.
What it is not
Not a benchmark. PxlPeak did not run a controlled test, did not measure these products, and has no independent timing data. Vendor-published latency is a best-case marketing figure measured on the vendor's own infrastructure.
Why nothing is ranked
Ranking requires a common measurement. These are vendor claims about different quantities, so there is no honest ordering to publish.

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