GPT Chat Latest vs Qwen3.8 Max Prime
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT Chat Latest points to OpenAI's stable API alias chat-latest that always resolves to the latest Instant chat model used in ChatGPT.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 400 K tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $5.00
- Output, $ per 1M tokens
- $30.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 05/05/2026
- Knowledge cutoff
- 2025-12-01
- API id
- openai/gpt-chat-latest
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- ▲$4.00
- Output, $ per 1M tokens
- ▲$12.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-prime
Which is the better API choice: GPT Chat Latest vs Qwen3.8 Max Prime?
- Qwen3.8 Max Prime: cheapest input (20% less than GPT Chat Latest)
- Qwen3.8 Max Prime: cheapest output
- Qwen3.8 Max Prime: largest context (1 M)
- Qwen3.8 Max Prime: the newest (09/23/2026)
Qwen3.8 Max Prime costs 20% less on input and 60% less on output than GPT Chat Latest ($4.00 / $12.00 versus $5.00 / $30.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M).
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.8 Max Prime you save $87.00 a month versus GPT Chat Latest (45% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Sonnet 5.5 Anthropic$0.152
- 2Claude Sonnet 5 Anthropic$0.152
- 3Qwen3.8 Max Prime Qwen$0.304
- 4Claude Opus 5.5 Anthropic$0.304
- 5GPT Chat Latest OpenAI$0.380
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: GPT Chat Latest vs Qwen3.8 Max Prime?
Qwen3.8 Max Prime costs 20% less on input and 60% less on output than GPT Chat Latest ($4.00 / $12.00 versus $5.00 / $30.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M).
Which is cheaper: GPT Chat Latest and Qwen3.8 Max Prime?
Qwen3.8 Max Prime is cheaper: $4.00 per million input tokens and $12.00 per million output tokens, versus $5.00 / $30.00 for GPT Chat Latest.
Which has more context: GPT Chat Latest and Qwen3.8 Max Prime?
Qwen3.8 Max Prime accepts 1 M tokens of context; GPT Chat Latest accepts 400 K.
Which is newer: GPT Chat Latest and Qwen3.8 Max Prime?
Qwen3.8 Max Prime was released on 09/23/2026; GPT Chat Latest on 05/05/2026.
What would 10,000 requests a month cost with GPT Chat Latest and Qwen3.8 Max Prime?
With 1,500 input and 400 output tokens per request: GPT Chat Latest: $195.00; Qwen3.8 Max Prime: $108.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.