Gemini 3.5 Flash-Lite vs Mistral Nemo

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

Estimate monthly cost for these models
Metric
Gemini 3.5 Flash-LiteGooglegoogle/gemini-3.5-flash-lite
Mistral NemoMistralAImistralai/Mistral-Nemo-Instruct-2407
Creator
Google
MistralAI
Released
Jul 21, 2026
Jul 19, 2024
Context window
1.05M (best)
131K
Max output
66K (best)
16K
Input / 1MLowest provider price
$0.30
$0.03 (best)
Output / 1MLowest provider price
$2.50
$0.03 (best)
Providers
2 (best)
1
IntelligenceArtificial Analysis index
11.7 (best)
5.2
LatencyMedian time to first token
1.4s (best)
3.3s
ThroughputMedian tokens per second
<1 t/s
<1 t/s (best)
Accepts
Text, Image, Audio, Video, Files
Text
Produces
Text
Text
Tool calling
Yes
Yes
Structured output
No
Yes
Reasoning
No
Yes

Gemini 3.5 Flash-Lite vs Mistral Nemo: summary

Gemini 3.5 Flash-Lite and Mistral Nemo are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Gemini 3.5 Flash-Lite, from Google, has a 1,048,576-token context window, costs from $0.30/1M input and $2.50/1M output tokens across 2 providers and scores 11.7 on the Artificial Analysis Intelligence Index.

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.

Mistral Nemo is the cheapest on input, 10× cheaper than the next model, Gemini 3.5 Flash-Lite has the largest context window, Gemini 3.5 Flash-Lite scores highest for intelligence and Mistral Nemo has the highest throughput.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="google/gemini-3.5-flash-lite", messages=[...]) # or client.chat.completions.create(model="mistralai/Mistral-Nemo-Instruct-2407", messages=[...])
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Benchmark scores sourced from ArtificialAnalysis