Is DeepSeek V3 cheaper than Mistral Small?

On input tokens, DeepSeek V3 is cheaper ($0.28 vs $1.00 per million). On output tokens, DeepSeek V3 is cheaper. Total cost on a typical workload depends on your input:output ratio.

Which has the larger context window, DeepSeek V3 or Mistral Small?

Mistral Small has a 128,000-token context window. DeepSeek V3 fits 128,000 tokens.

How do I switch from DeepSeek V3 to Mistral Small?

Update the model id in your API call: replace "deepseek-v3" with "mistral-small". Then verify cost impact on a sample of your real prompts using a token counter.

DeepSeek V3 vs Mistral Small

Side-by-side comparison of DeepSeek V3 (DeepSeek) and Mistral Small (Mistral). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec	DeepSeek V3	Mistral Small
Provider	DeepSeek	Mistral
Model id	deepseek-v3	mistral-small
Input price (per 1M tokens)	$0.28	$1.00
Output price (per 1M tokens)	$0.42	$3.00
Context window	128,000	128,000
Output speed (tokens/sec)	~60	~110

Cost on real prompts

Total cost = (input tokens × input price) + (output tokens × output price). Numbers below use the exact pricing tables published by each provider.

Scenario	Input	Output	DeepSeek V3	Mistral Small	Cheaper
Short question + answer	50	150	$0.000077	$0.0005	DeepSeek V3
Code review on one file	500	1,500	$0.00077	$0.005000	DeepSeek V3
Long document summary	5,000	500	$0.001610	$0.006500	DeepSeek V3
Heavy reasoning task	2,000	8,000	$0.003920	$0.026000	DeepSeek V3
Full codebase analysis	50,000	10,000	$0.018200	$0.080000	DeepSeek V3

Want the exact cost for your prompt instead of these examples? Open the cost calculator pre-loaded with both models →

When to pick which

Heuristics derived from the spec table above. Always validate on your own prompts before committing — these are starting points, not verdicts.

Pick DeepSeek V3 for

•output-heavy workloads (long-form generation, code, summaries) — deepseek-v3 is meaningfully cheaper per output token
•input-heavy workloads (long context, RAG, document QA) — deepseek-v3 is cheaper per input token

Pick Mistral Small for

•latency-sensitive UX — mistral-small streams faster (~110 vs ~60 tok/s)

Switching between them

For most use cases, switching providers means updating the model id and the request shape if the providers differ. Within the same provider, it's usually a single-line change.

From DeepSeek V3 to Mistral Small

# Before
model = "deepseek-v3"

# After
model = "mistral-small"

If the providers differ (DeepSeek vs Mistral), you'll also need to swap the SDK / endpoint URL. Cross-provider migrations usually take 30 minutes to a few hours depending on how many features (streaming, function calling, tool use) you depend on.

Calculate cost on your own prompt

The examples above use generic input/output ratios. For an exact comparison, paste your real prompt into the calculator — it counts tokens with the right tokenizer for each model and shows side-by-side cost.

Open the calculator with both models →