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Gemini 3.8 Live Extended Thinking vs Magistral Medium

Pricing verdict: Gemini 3.8 Live Extended Thinking vs Magistral Medium: Gemini 3.8 Live Extended Thinking is cheaper for input-heavy usage ($0.75/M vs $2.00/M input tokens), while Gemini 3.8 Live Extended Thinking is better for long-context tasks (131,072 tokens).

Direct answer: choose Gemini 3.8 Live Extended Thinking for lower token spend and choose Gemini 3.8 Live Extended Thinking when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini 3.8 Live Extended Thinking
vs
Mistral AI
Magistral Medium

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3.8 Live Extended Thinking

Per Request:$0.003000
Daily:$0.30
Monthly:$9.00
Yearly:$109.50

Magistral Medium

Per Request:$0.004500
Daily:$0.45
Monthly:$13.50
Yearly:$164.25

Cost Differences

+$0.001500
Per Request
+$0.15
Daily
+$4.50
Monthly
+$54.75
Yearly

Magistral Medium costs more than Gemini 3.8 Live Extended Thinking

Quick Recommendation

Winner for direct API pricing: Gemini 3.8 Live Extended Thinking. At the default workload, Gemini 3.8 Live Extended Thinking saves about $4.50/month ($54.75/year) versus Magistral Medium.

Feature Comparison

FeatureGemini 3.8 Live Extended ThinkingMagistral Medium
ProviderGoogleMistral AI
Input Price$0.75/1M tokens$2.00/1M tokens
Output Price$4.50/1M tokens$5.00/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output65,536 tokens32,768 tokens
Categoryreasoningreasoning
Capabilities
textvisionaudiovideoreasoningstreaming
textreasoning
Release Date9/15/202612/15/2025

Gemini 3.8 Live Extended Thinking vs Magistral Medium: Which Should You Choose?

Choosing between Gemini 3.8 Live Extended Thinking and Magistral Medium depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live Extended Thinking is the more affordable option at $0.75/1M input tokens — 63% cheaper than Magistral Medium. Meanwhile, Gemini 3.8 Live Extended Thinking offers a significantly larger context window at 131,072 tokens vs 128,000 for Magistral Medium.

These models come from different providers — Google and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Gemini 3.8 Live Extended Thinking would save you roughly $450.00/month compared to Magistral Medium. For startups and indie developers, that difference can be significant.

Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M output tokens vs $5.00 for Magistral Medium. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3.8 Live Extended Thinking has the edge here at $4.50/1M output tokens.

Multimodal capabilities: Gemini 3.8 Live Extended Thinking supports vision (image inputs) while Magistral Medium is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 3.8 Live Extended Thinking when:

  • • Budget is a primary concern
  • • You need a larger context window (131,072 tokens)
  • • You need more capabilities (vision, audio, video, streaming)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Google's API ecosystem

Choose Magistral Medium when:

  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Gemini 3.8 Live Extended Thinking

  • Input pricing: $0.75/M tokens
  • Output pricing: $4.50/M tokens
  • Context window: 131,072 tokens
  • Max output: 65,536 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Magistral Medium

  • Input pricing: $2.00/M tokens
  • Output pricing: $5.00/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Gemini 3.8 Live Extended Thinking
  • Higher output cost than Gemini 3.8 Live Extended Thinking
  • Smaller context window than Gemini 3.8 Live Extended Thinking

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3.8 Live Extended Thinking (Google)

Magistral Medium (Mistral AI)

Start using Gemini 3.8 Live Extended Thinking today

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Start using Magistral Medium today

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Frequently Asked Questions

Which is cheaper, Gemini 3.8 Live Extended Thinking or Magistral Medium?
Gemini 3.8 Live Extended Thinking is cheaper for input tokens at $0.75 per million tokens vs $2.00 for Magistral Medium — that's 63% savings on input costs.
What is the context window difference between Gemini 3.8 Live Extended Thinking and Magistral Medium?
Gemini 3.8 Live Extended Thinking supports 131,072 tokens while Magistral Medium supports 128,000 tokens — a difference of 3,072 tokens in favor of Gemini 3.8 Live Extended Thinking.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini 3.8 Live Extended Thinking is the lower-cost option, while Gemini 3.8 Live Extended Thinking offers a larger context window (131,072 vs 128,000 tokens). Choose Gemini 3.8 Live Extended Thinking for budget sensitivity or Gemini 3.8 Live Extended Thinking for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3.8 Live Extended Thinking costs about $9.00/month and Magistral Medium costs about $13.50/month. Overall, Gemini 3.8 Live Extended Thinking has lower combined input + output rates ($0.75 in, $4.50 out) vs Magistral Medium.
Where can I compare Google and Mistral AI API pricing beyond this model matchup?
See the Google vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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