ModelPriceWatch.com
Last scan 2026-11-07 Models tracked 308 Providers 42 Cheapest paid pplx-decider-flash-v1.2 $0.010/Mtok in Every price links to its source

Fastest LLM APIs for Low-Latency Apps

LLM APIs optimized for fast inference and low latency, ranked by measured throughput (tokens/sec). Compare verified pricing on fast inference providers like Groq, Together, and Fireworks.

78 models qualify top 26 shown ranked by Throughput
1DeepInfra

Llama 4 Scout

2600 tok/s Throughput

$0.150/1M blended · $0.100 in · $0.300 out

2Together

Llama 3.3 70B

2500 tok/s Throughput

$1.04/1M blended · $1.04 in · $1.04 out

3Fireworks

GPT-OSS 120B

1829 tok/s Throughput

$0.262/1M blended · $0.150 in · $0.600 out

MODELPRICEWATCH.COM · 2026-11-07

Cost calculator for this use casemonthly cost, top 3 models

1 Llama 4 Scout
$—
2 Llama 3.3 70B
$—
3 GPT-OSS 120B
$—

Full ranking — top 26 models

list prices, USD per 1M tokens
Top 26 models for Fastest LLM APIs for Low-Latency Apps, ranked by Throughput
Model Throughput Blended* Input Output Context Provider
1Llama 4 Scout 2600 tok/s $0.150 $0.100 $0.300 10M DeepInfra
2Llama 3.3 70B 2500 tok/s $1.04 $1.04 $1.04 131K Together
3GPT-OSS 120B 1829 tok/s $0.262 $0.150 $0.600 128K Fireworks
4GPT-OSS 20B 942 tok/s $0.128 $0.070 $0.300 128K Fireworks
5Gemini 3.5 Flash-Lite 365 tok/s $0.850 $0.300 $2.50 1M Google
6GLM-5.2 347 tok/s $2.15 $1.40 $4.40 1M Z.AI
7Kimi K2.6 343 tok/s $1.71 $0.950 $4.00 262K Moonshot
8Kimi K2.5 338 tok/s $1.20 $0.600 $3.00 262K Moonshot
9Nova Micro 300 tok/s $0.061 $0.035 $0.140 128K Amazon
10Gemini 3.8 Flash 278 tok/s $1.50 $0.750 $3.75 1M Google
11Muse Spark 1.3 228 tok/s $2.00 $1.25 $4.25 1M Meta
12Muse Spark 1.1 206 tok/s $2.00 $1.25 $4.25 1M Meta
13Nova Lite 200 tok/s $0.105 $0.060 $0.240 300K Amazon
14Codestral 2508 200 tok/s $0.450 $0.300 $0.900 256K Mistral
15Gemini 3.6 Flash 190 tok/s $1.50 $0.750 $3.75 1M Google
16GPT-5.6 Luna 185 tok/s $0.450 $0.200 $1.20 1M OpenAI
17GPT-5.4 mini 180 tok/s $1.69 $0.750 $4.50 1M OpenAI
18DeepSeek V4 Pro 175 tok/s $1.63 $1.30 $2.60 1M DeepInfra
19Ministral 3 3B 174 tok/s $0.100 $0.100 $0.100 128K Mistral
20GLM-5 170 tok/s $1.55 $1.00 $3.20 128K Z.AI
21Claude Fable 5.1 65 tok/s $20.00 $10.00 $50.00 1M Anthropic
22Claude Haiku 5.5 — $0.200 $0.100 $0.500 1M Anthropic
23MiniMax-M3.1-Flash — $0.262 $0.150 $0.600 1M MiniMax
24Mercury 3 — $0.325 $0.200 $0.700 1M Inception
25Mercury 2.5 — $0.338 $0.200 $0.750 260K Inception
26Kimi K3.1 Pro HighSpeed — $8.00 $4.00 $20.00 1M Moonshot
Ranked by Throughput — independent leaderboard data; benchmark citations are on each model page. Scores flagged “vendor” are the maker's own claim, shown for reference and ranked below independently-scored models; models with no published score rank last, cheapest first. * Blended = (3×input + 1×output) ÷ 4. Every price links to its source on the model page.

Recent price movement in this ranking

price-only deltas · logged by the daily scan

3 of the top 26 fast inference models have re-priced since we began tracking · last checked .

Models in this Fastest LLM APIs for Low-Latency Apps ranking that have re-priced since tracking began, most recent move first
Model Changes Latest move Provider
Gemini 3.6 Flash 1 price cut on : $1.50/$7.50 → $0.750/$3.75 /Mtok Google
GPT-5.6 Luna 1 price cut on : $1.00/$6.00 → $0.200/$1.20 /Mtok OpenAI
Llama 3.3 70B 1 price rise on : $0.880/$0.880 → $1.04/$1.04 /Mtok Together
Changes = distinct price moves logged since tracking began; in/out prices are $ per 1M tokens. MODELPRICEWATCH.COM · 2026-11-07

Most recently, Gemini 3.6 Flash cut its price on — a sign pricing in this category is still moving, so re-check before committing to a long-term choice. See all recent price moves →

How models are selected

Generally-available models with independently measured throughput (output tokens per second) or a speed-optimized release, ranked by measured throughput. One row per model — host duplicates are collapsed. Models without a speed measurement rank below measured ones, cheapest first.

Prices are per million tokens (Mtok), sourced directly from — and linked to — official provider pricing pages. "Blended cost" is (3×input + 1×output) ÷ 4 — weighted toward input because real workloads read far more tokens than they generate.

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