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Model comparison

Gemini 1.5 Pro vs Mixtral 8x7B

GoogleGemini 1.5 Pro
Input
$1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K)
Output
$5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K)
Context
Up to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first
Released
2024-02-15
Full model page →Mistral AIMixtral 8x7B
Input
$0.70 / 1M tokens
Output
$0.70 / 1M tokens
Context
32K tokens
Released
2023-12-09
Full model page →
Short answer

Gemini 1.5 Pro scores higher on 4 of the 4 benchmarks both models report; Mixtral 8x7B is cheaper on input tokens ($0.7 vs $1.3 per 1M, 1.8×); Gemini 1.5 Pro has the larger context window (2.097152M vs 32K); Mixtral 8x7B ships open weights while Gemini 1.5 Pro is API-only.

Specs and pricing side by side

SpecGemini 1.5 ProMixtral 8x7B
MakerGoogleMistral AI
Released2024-02-152023-12-09
Context windowUp to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first32K tokens
Max output8,192 tokensNot officially specified; bounded by the…
Input price$1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K)$0.70 / 1M tokens
Output price$5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K)$0.70 / 1M tokens
ParametersNot publicly disclosed46.7B total parameters, 12.9B active per token (8 experts, 2 routed per token)
LicenseProprietary (Google). Available only as a hosted API; not redistributable.Apache 2.0
WeightsAPI onlyOpen weights
Modalitiestext, image, audio, video, codeText
Knowledge cutoffNovember 2023Not officially published by Mistral AI

Benchmarks both models report

BenchmarkGemini 1.5 ProMixtral 8x7B
MMLU85.9%70.6%
MATH82.9%28.4%
HumanEval89%40.2%
MBPP87.8%60.7%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick Gemini 1.5 Pro if…

  • You care about MMLU, MATH, HumanEval (it scores higher on 4 shared benchmarks).
  • You need the longer context (2.097152M vs 32K).
  • You need text / image / audio / video / code input, which Mixtral 8x7B lacks.
  • Your use case is: analyzing very long documents, contracts, or research-paper bundles in one pass.

Pick Mixtral 8x7B if…

  • Cost matters: input tokens cost 1.8× less ($0.7 vs $1.3 per 1M).
  • You want to self-host or fine-tune (open weights, Apache 2.0).
  • You need Text input, which Gemini 1.5 Pro lacks.
  • Your use case is: self-hosted chat assistants and RAG backends where Apache 2.0 licensing matters.

FAQ

Which is better, Gemini 1.5 Pro or Mixtral 8x7B?

Gemini 1.5 Pro scores higher on 4 of the 4 benchmarks both models report; Mixtral 8x7B is cheaper on input tokens ($0.7 vs $1.3 per 1M, 1.8×); Gemini 1.5 Pro has the larger context window (2.097152M vs 32K); Mixtral 8x7B ships open weights while Gemini 1.5 Pro is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is Mixtral 8x7B?

Gemini 1.5 Pro: $1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K) input, $5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K) output. Mixtral 8x7B: $0.70 / 1M tokens input, $0.70 / 1M tokens output (list API prices as published by each maker).

What are the context windows of Gemini 1.5 Pro and Mixtral 8x7B?

Gemini 1.5 Pro offers Up to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first with up to 8,192 tokens output; Mixtral 8x7B offers 32K tokens with up to Not officially specified; bounded by the 32K-token context window output.

Is Gemini 1.5 Pro newer than Mixtral 8x7B?

Gemini 1.5 Pro was released 2024-02-15; Mixtral 8x7B was released 2023-12-09.

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