AI Models · Paid vs Paid

Mistral Large 2407 Paid vs RERelace Apply 3 Paid

Mistral Large 2407 vs Relace Apply 3 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.

Mistral Large 2407PaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalNo
Self-hostNo
RERelace Apply 3PaidRelace
$0.85 /M input
$1.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window256K tokens
MultimodalNo
Self-hostNo
Choose Relace Apply 3 for the lower output price ($1.25/M vs $6/M). It also gives you the larger 256K context window.

Mistral Large 2407 vs Relace Apply 3 specs

SpecMistral Large 2407Relace Apply 3Winner
MakerMistral AIRelace
TypeProprietaryProprietary
Context window131K tokens256K tokensRERelace Apply 3
Input price$2/M$0.85/MRERelace Apply 3
Output price$6/M$1.25/MRERelace Apply 3
Vision / multimodalNoNo
Tool / function callingYesNoMistral Large 2407
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

4.8×cheaper per output token

Relace Apply 3 is ~4.8× cheaper than Mistral Large 2407 on output tokens ($1.25 vs $6 per M tokens).

Choose Mistral Large 2407 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
REChoose Relace Apply 3 if…
  • You want frontier performance through a managed API
  • You need the longer 256K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral Large 2407Relace Apply 3
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Large 2407 vs Relace Apply 3

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

Mistral Large 2407
Relace Apply 3
Intelligence index
6.8
Math index
0
GPQA
47.2%
MMLU-Pro
68.3%
Humanity's Last Exam
2.9%
Long Context Reasoning
2%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Speed
0 tok/s
Latency
0s
Intelligence per $
2.3

Benchmark data by Artificial Analysis.

How Mistral Large 2407 and Relace Apply 3 score

🤝 Neck and neck on these criteria (2.7 vs 2.6 / 5).
CriterionMistral Large 2407Relace Apply 3
Cost-efficiency4.04.5
Context window3.54.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.52.0

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

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

Relace Apply 3 Paid

Relace · Proprietary

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...

Frequently asked questions

Mistral Large 2407 vs Relace Apply 3 — which is cheaper?

Relace Apply 3 is cheaper on output ($1.25/M vs $6/M).

Which has the larger context window?

Relace Apply 3 offers the larger context window (256K tokens).

Mistral Large 2407 vs Relace Apply 3 — which should I pick in 2026?

Choose Relace Apply 3 for the lower output price ($1.25/M vs $6/M). It also gives you the larger 256K context window.

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