DeepSeek V4 Pro 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 ProDeepSeekdeepseek/deepseek-v4-pro
Mistral NemoMistralAImistralai/Mistral-Nemo-Instruct-2407
Creator
DeepSeek
MistralAI
Released
Apr 24, 2026
Jul 19, 2024
Context window
1.05M (best)
131K
Max output
384K (best)
16K
Input / 1MLowest provider price
$1.74$1.74–$2.40 across 3
$0.03 (best)
Output / 1MLowest provider price
$3.48$3.48–$4.80 across 3
$0.03 (best)
Providers
3 (best)
1
IntelligenceArtificial Analysis index
23.1 (best)
5.2
LatencyMedian time to first token
4.9s
3.3s (best)
ThroughputMedian tokens per second
<1 t/s (best)
<1 t/s
Accepts
Text
Text
Produces
Text
Text
Tool calling
Yes
Yes
Structured output
Yes
Yes
Reasoning
Yes
Yes

DeepSeek V4 Pro vs Mistral Nemo: summary

DeepSeek V4 Pro 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 Pro, from DeepSeek, has a 1,048,576-token context window, costs from $1.74/1M input and $3.48/1M output tokens across 3 providers and scores 23.1 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, 58× cheaper than the next model, DeepSeek V4 Pro has the largest context window, DeepSeek V4 Pro scores highest for intelligence and DeepSeek V4 Pro 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="deepseek/deepseek-v4-pro", messages=[...]) # or client.chat.completions.create(model="mistralai/Mistral-Nemo-Instruct-2407", messages=[...])
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Benchmark scores sourced from ArtificialAnalysis