Which is cheaper, Mistral Nemo and Qwen3.8 27B?

Mistral Nemo has the lowest input price. Per 1M input tokens: Mistral Nemo from $0.03 and Qwen3.8 27B from $0.40.

Which has the larger context window, Mistral Nemo and Qwen3.8 27B?

Qwen3.8 27B has the largest context window: Mistral Nemo 131,072 tokens and Qwen3.8 27B 262,144 tokens.

Can I switch between Mistral Nemo and Qwen3.8 27B without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (mistralai/Mistral-Nemo-Instruct-2407, qwen/qwen3.8-27b).

Mistral Nemo vs Qwen3.8 27B

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Estimate monthly cost for these models

Mistral Nemo MistralAImistralai/Mistral-Nemo-Instruct-2407

Qwen3.8 27B Alibabaqwen/qwen3.8-27b

Creator

MistralAI

Alibaba

Released

Jul 19, 2024

Aug 14, 2025

Context window

131K

262K

Max output

16K

33K

Input / 1MLowest provider price

$0.03

$0.40

Output / 1MLowest provider price

$0.03

$3.00

Providers

IntelligenceArtificial Analysis index

5.2

20.1

LatencyMedian time to first token

3.3s

—

ThroughputMedian tokens per second

<1 t/s

—

Accepts

Text

Text, Image, Video

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Mistral Nemo vs Qwen3.8 27B: summary

Mistral Nemo and Qwen3.8 27B are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Mistral Nemo, from MistralAI, has a 131,072-token context window, costs $0.03/1M input and $0.03/1M output tokens and scores 5.2 on the Artificial Analysis Intelligence Index.

Qwen3.8 27B, from Alibaba, has a 262,144-token context window, costs $0.40/1M input and $3.00/1M output tokens and scores 20.1 on the Artificial Analysis Intelligence Index.

Mistral Nemo is the cheapest on input, 13× cheaper than the next model, Qwen3.8 27B has the largest context window and Qwen3.8 27B scores highest for intelligence.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="mistralai/Mistral-Nemo-Instruct-2407", messages=[...]) # or client.chat.completions.create(model="qwen/qwen3.8-27b", messages=[...])

Full API docs

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More comparisons

Benchmark scores sourced from ArtificialAnalysis