AI Models · Paid vs Paid

Grok 4.6 Paid vs Mistral Large 2407 Paid

Grok 4.6 vs Mistral Large 2407 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Grok 4.6PaidxAI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window500K tokens
MultimodalYes
Self-hostNo
Mistral Large 2407PaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalNo
Self-hostNo
Choose Grok 4.6 for the lower output price ($6/M vs $6/M). It also gives you the larger 500K context window.

Grok 4.6 vs Mistral Large 2407 specs

SpecGrok 4.6Mistral Large 2407Winner
MakerxAIMistral AI
TypeProprietaryProprietary
Context window500K tokens131K tokensGrok 4.6
Input price$2/M$2/M= Tie
Output price$6/M$6/M= Tie
Vision / multimodalYesNoGrok 4.6
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

Choose Grok 4.6 if…
  • You want frontier performance through a managed API
  • You need the longer 500K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Mistral Large 2407 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGrok 4.6Mistral Large 2407
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Grok 4.6 vs Mistral Large 2407

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Grok 4.6 delivers 6.4× more intelligence per dollar.
Grok 4.6
Mistral Large 2407
Intelligence index
44.4
6.8
Coding index
76.8
GPQA
94.9%
47.2%
Humanity's Last Exam
42.9%
2.9%
Long Context Reasoning
80.3%
2%
SciCode
56.5%
τ-Bench Banking
50.7%
Terminal-Bench
88.4%
Math index
0
MMLU-Pro
68.3%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Speed
71.4 tok/s
0 tok/s
Latency
38.01s
0s
Intelligence per $
14.8
2.3

Benchmark data by Artificial Analysis.

How Grok 4.6 and Mistral Large 2407 score

🏆 Best value & openness: Grok 4.6 (3.2 vs 2.7 / 5)
CriterionGrok 4.6Mistral Large 2407
Cost-efficiency4.04.0
Context window4.53.5
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Grok 4.6 Paid

xAI · Proprietary

Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

Mistral Large 2407 Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/m

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Grok 4.5Grok 4.20Grok 4.3Grok 4.3 (batch)Grok 4.20 Multi-AgentGrok Build 0.1

Frequently asked questions

Grok 4.6 vs Mistral Large 2407 — which is cheaper?

Grok 4.6 is cheaper on output ($6/M vs $6/M).

Which has the larger context window?

Grok 4.6 offers the larger context window (500K tokens).

Grok 4.6 vs Mistral Large 2407 — which should I pick in 2026?

Choose Grok 4.6 for the lower output price ($6/M vs $6/M). It also gives you the larger 500K context window.

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