Model catalog and prices
Every model on one key and one balance. Compare price, context and speed, copy the ID and start coding.
- models in the catalog
- 69
- providers
- 13
- cheapest input per 1M · Qwen3 Embedding 8B
- $0.02
- largest context, tokens · GPT-5.4
- 1.1M
- No readings
BAAI · Text models
- Context
- 8K
- Latency
- —
Input$0.02Output$0.00per 1M tokens
- No readings
Qwen · Text models
- Context
- 33K
- Latency
- —
Input$0.02Output$0.00per 1M tokens
- No readings
DeepSeek · Text models
- Context
- 1M
- Latency
- ≈ 5 s
Input$0.03Output$0.07per 1M tokens
- Healthy
DeepSeek · Text models
Understands images- Context
- 1M
- Latency
- ≈ 24 s
Input$0.03Output$0.15per 1M tokens
- No readings
Xiaomi · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.03Output$0.09per 1M tokens
- No readings
Qwen · Text models
- Context
- 33K
- Latency
- —
Input$0.04Output$0.00per 1M tokens
- No readings
OpenAI · Text models
- Context
- 8K
- Latency
- —
Input$0.04Output$0.00per 1M tokens
- No readings
Z-AI · Text models
Understands images- Context
- 1M
- Latency
- ≈ 7.3 s
Input$0.06Output$0.25per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- ≈ 3.5 s
Input$0.06Output$0.49per 1M tokens
- No readings
Moonshot · Text models
- Context
- 256K
- Latency
- —
Input$0.07Output$0.30per 1M tokens
- Healthy
Google · Text models
Understands images- Context
- 1M
- Latency
- ≈ 30 s
Input$0.08Output$0.34per 1M tokens
- No readings
MiniMax · Text models
Understands images- Context
- 512K
- Latency
- —
Input$0.09Output$0.39per 1M tokens
- No readings
Moonshot · Text models
- Context
- 256K
- Latency
- —
Input$0.09Output$0.41per 1M tokens
- No readings
Xiaomi · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.11Output$0.28per 1M tokens
- No readings
Qwen · Text models
- Context
- 1M
- Latency
- —
Input$0.11Output$0.35per 1M tokens
- Healthy
OpenAI · Text models
Understands images- Context
- 272K
- Latency
- ≈ 65 s
Input$0.11Output$0.63per 1M tokens
- No readings
Moonshot · Text models
- Context
- 256K
- Latency
- —
Input$0.13Output$0.89per 1M tokens
- Healthy
Anthropic · Text models
Understands images- Context
- 200K
- Latency
- ≈ 29 s
Input$0.14Output$0.78per 1M tokens
- No readings
OpenAI · Text models
Understands images- Context
- 372K
- Latency
- —
Input$0.14Output$0.88per 1M tokens
- Healthy
xAI · Text models
Understands images- Context
- 256K
- Latency
- ≈ 69 s
Input$0.15Output$0.43per 1M tokens
- No readings
Moonshot · Text models
Understands images- Context
- 262K
- Latency
- —
Input$0.16Output$0.77per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.16Output$0.59per 1M tokens
- No readings
xAI · Text models
Understands images- Context
- 256K
- Latency
- —
Input$0.18Output$0.39per 1M tokens
- No readings
Qwen · Text models
- Context
- 1M
- Latency
- —
Input$0.20Output$0.56per 1M tokens
- No readings
DeepSeek · Text models
- Context
- 1M
- Latency
- —
Input$0.21Output$0.78per 1M tokens
- No readings
Qwen · Text models
- Context
- 1M
- Latency
- —
Input$0.22Output$0.45per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.24Output$1.49per 1M tokens
- No readings
Z-AI · Text models
- Context
- 1M
- Latency
- —
Input$0.25Output$0.97per 1M tokens
- No readings
Z-AI · Text models
Understands images- Context
- 200K
- Latency
- —
Input$0.27Output$0.87per 1M tokens
- Unstable
Anthropic · Text models
Understands images- Context
- 324K
- Latency
- ≈ 53 s
Input$0.28Output$1.23per 1M tokens
- Healthy
OpenAI · Text models
- Context
- 1.1M
- Latency
- ≈ 21 s
Input$0.28Output$1.97per 1M tokens
- No readings
OpenAI · Text models
Understands images- Context
- 372K
- Latency
- —
Input$0.29Output$1.98per 1M tokens
- No readings
OpenAI · Text models
Understands images- Context
- 400K
- Latency
- —
Input$0.29Output$2.79per 1M tokens
- No readings
Qwen · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.32Output$1.19per 1M tokens
- No readings
xAI · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.37Output$0.74per 1M tokens
- No readings
DeepSeek · Text models
- Context
- 1M
- Latency
- —
Input$0.38Output$0.84per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 200K
- Latency
- —
Input$0.38Output$1.97per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.38Output$1.97per 1M tokens
- No readings
xAI · Text models
Understands images- Context
- 256K
- Latency
- —
Input$0.38Output$0.98per 1M tokens
- No readings
Qwen · Text models
- Context
- 1M
- Latency
- —
Input$0.45Output$1.82per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 200K
- Latency
- —
Input$0.47Output$2.64per 1M tokens
- Healthy
Anthropic · Text models
Understands images- Context
- 1M
- Latency
- ≈ 47 s
Input$0.47Output$2.64per 1M tokens
- Healthy
Google · Text models
- Context
- 1M
- Latency
- ≈ 24 s
Input$0.51Output$2.10per 1M tokens
- No readings
Moonshot · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.59Output$1.77per 1M tokens
- No readings
Moonshot · Text models
- Context
- 200K
- Latency
- —
Input$0.59Output$1.77per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 200K
- Latency
- —
Input$0.64Output$2.97per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 200K
- Latency
- —
Input$0.64Output$2.97per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 1M
- Latency
- ≈ 14 s
Input$0.64Output$2.97per 1M tokens
- Healthy
OpenAI · Text models
Understands images- Context
- 258K
- Latency
- ≈ 32 s
Input$0.64Output$3.46per 1M tokens
- No readings
OpenAI · Text models
Understands images- Context
- 786K
- Latency
- ≈ 4.6 s
Input$0.67Output$3.94per 1M tokens
- Healthy
OpenAI · Text models
Understands images- Context
- 250K
- Latency
- ≈ 60 s
Input$0.67Output$2.22per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.78Output$2.98per 1M tokens
- No readings
Z-AI · Text models
Understands images- Context
- 1M
- Latency
- —
Input$0.84Output$3.23per 1M tokens
- No readings
Moonshot · Text models
- Context
- 200K
- Latency
- —
Input$0.85Output$1.77per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- ≈ 4.5 s
Input$0.94Output$2.89per 1M tokens
- No readings
Google · Text models
Understands images- Context
- 1M
- Latency
- ≈ 2.9 s
Input$0.97Output$2.17per 1M tokens
- No readings
OpenAI · Pictures
Image editing- Context
- —
- Latency
- ≈ 66 s
Input$1.42Output$8.55per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 1M
- Latency
- ≈ 6.5 s
Input$2.25Output$10.33per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- 1M
- Latency
- ≈ 13 s
Input$2.26Output$11.49per 1M tokens
- No readings
Anthropic · Text models
Understands images- Context
- —
- Latency
- —
Input$2.29Output$11.49per 1M tokens
- Healthy
Anthropic · Text models
- Context
- —
- Latency
- ≈ 35 s
Input$4.40Output$22.00per 1M tokens
- No readings
Google · Pictures
Image editing- Unit
- per unit
- Latency
- ≈ 32 s
Price$0.01per unit
- No readings
OpenAI · Pictures
- Unit
- per unit
- Latency
- ≈ 85 s
Price$0.08per unit
- No readings
OpenAI · Pictures
- Unit
- per unit
- Latency
- —
Price$0.08per unit
- No readings
Alibaba · Video
- Unit
- per sec.
- Latency
- —
Price$0.11per sec.
- No readings
Google · Video
- Unit
- per sec.
- Latency
- —
Price$0.13per sec.
- No readings
ByteDance · Video
- Unit
- per sec.
- Latency
- —
Price$0.23per sec.
- No readings
Google · Video
- Unit
- per sec.
- Latency
- —
Price$0.27per sec.
- No readings
ByteDance · Video
- Unit
- per sec.
- Latency
- —
Price$0.29per sec.
Accounting inside the service is in USD; EUR prices are recalculated at the current rate and may change.
Price bars use a log scale relative to the most expensive price in the catalog; media models are compared with the priciest model of the same unit.
Status reflects requests over the last 6 hours; latency is the average response time over 48 hours. See the Status page for details.
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