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Mistral Small 4 vs Qwen3.8 27B

Practical read: Mistral Small 4 reads four times more context. Qwen3.8 27B costs about half as much and starts answering sooner. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Mistral: Mistral Small 4 compared with Qwen: Qwen3.8 27B
Attribute Mistral Small 4 mistralai/mistral-small-2603 Qwen3.8 27B qwen/qwen3.8-27b
Price, 1M in + out $0.79 Mistral, cheapest route $0.39 Engy, cheapest route
Best for Long documents Low cost and speed
Input / output, 1M $0.16 / $0.63 $0.047 / $0.34
Cached input $0.015825/1M $0.01/1M to $0.180405/1M
Context window 262K 262,144 tokens 66K 65,536 tokens
First token, p50 1.00 s via Mistral 0.93 s via Crusoe
AI IQ Unrated IQ 115 #57 on AI IQ
Provider routes 2 with failover 21 with failover
Privacy Zero retention route Confidential E2EE and zero retention route
Recent route uptime range 100.00% 100.00%
Publisher Mistral Alibaba Cloud Model Studio
Modes chat chat
More detail

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare Mistral Small 4 and Qwen3.8 27B in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on mistralai/mistral-small-2603, then on qwen/qwen3.8-27b.
4. Show me cost, latency and quality side by side before changing the default.
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("mistralai/mistral-small-2603", "qwen/qwen3.8-27b"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)
for model in mistralai/mistral-small-2603 qwen/qwen3.8-27b; do
  curl https://api.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done
Your agent will need an API key.

Questions

Which should I use, Mistral: Mistral Small 4 or Qwen: Qwen3.8 27B?

Mistral Small 4 has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is Mistral: Mistral Small 4 or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for Mistral: Mistral Small 4 and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Mistral: Mistral Small 4 or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is 998 ms for Mistral: Mistral Small 4 and 929 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Mistral: Mistral Small 4 and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between mistralai/mistral-small-2603 and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

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Try Mistral Small 4 and Qwen3.8 27B with one key.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

No card required. Start with 1 million free tokens.

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