DeepSeek V4.1 Flash 1017 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
DeepSeek V4.1 Flash 1017DeepSeekdeepseek/deepseek-v4.1-flash-1017
Mistral NemoMistralAImistralai/Mistral-Nemo-Instruct-2407
Creator
DeepSeek
MistralAI
Released
Oct 17, 2026
Jul 19, 2024
Context window
1.05M (best)
131K
Max output
944K (best)
16K
Input / 1MLowest provider price
$0.10$0.10–$0.30 across 4
$0.03 (best)
Output / 1MLowest provider price
$0.29$0.29–$1.20 across 4
$0.03 (best)
Providers
4 (best)
1
IntelligenceArtificial Analysis index
32.5 (best)
5.2
LatencyMedian time to first token
—
3.3s
ThroughputMedian tokens per second
—
<1 t/s
Accepts
Text, Image
Text
Produces
Text
Text
Tool calling
Yes
Yes
Structured output
Yes
Yes
Reasoning
No
Yes

DeepSeek V4.1 Flash 1017 vs Mistral Nemo: summary

DeepSeek V4.1 Flash 1017 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.

DeepSeek V4.1 Flash 1017, from DeepSeek, has a 1,048,576-token context window, costs from $0.10/1M input and $0.29/1M output tokens across 4 providers and scores 32.5 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, 3.3× cheaper than the next model, DeepSeek V4.1 Flash 1017 has the largest context window and DeepSeek V4.1 Flash 1017 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="deepseek/deepseek-v4.1-flash-1017", messages=[...]) # or client.chat.completions.create(model="mistralai/Mistral-Nemo-Instruct-2407", messages=[...])
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Benchmark scores sourced from ArtificialAnalysis