Which is cheaper, Mistral Nemo and GPT-6 Luna?

Mistral Nemo has the lowest input price. Per 1M input tokens: Mistral Nemo from $0.03 and GPT-6 Luna from $0.10.

Which has the larger context window, Mistral Nemo and GPT-6 Luna?

GPT-6 Luna has the largest context window: Mistral Nemo 131,072 tokens and GPT-6 Luna 400,000 tokens.

Can I switch between Mistral Nemo and GPT-6 Luna 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, openai/gpt-6-luna).

Mistral Nemo vs GPT-6 Luna

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

GPT-6 Luna OpenAIopenai/gpt-6-luna

Creator

MistralAI

OpenAI

Released

Jul 19, 2024

Sep 22, 2026

Context window

131K

400K

Max output

16K

128K

Input / 1MLowest provider price

$0.03

$0.10

Output / 1MLowest provider price

$0.03

$0.50

Providers

IntelligenceArtificial Analysis index

5.2

27.8

LatencyMedian time to first token

3.3s

—

ThroughputMedian tokens per second

<1 t/s

—

Accepts

Text

Files, Image, Text

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Mistral Nemo vs GPT-6 Luna: summary

Mistral Nemo and GPT-6 Luna 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.

GPT-6 Luna, from OpenAI, has a 400,000-token context window, costs $0.10/1M input and $0.50/1M output tokens and scores 27.8 on the Artificial Analysis Intelligence Index.

Mistral Nemo is the cheapest on input, 3.3× cheaper than the next model, GPT-6 Luna has the largest context window and GPT-6 Luna 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="openai/gpt-6-luna", messages=[...])

Full API docs

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More comparisons

Benchmark scores sourced from ArtificialAnalysis