AI Models · Paid vs Paid

GPT-4 Paid vs Mistral Medium 3.1 (batch) Paid

GPT-4 vs Mistral Medium 3.1 (batch) 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.

GPT-4PaidOpenAI
$30 /M input
$60 /M outputManaged API (no infra to run)
TypeProprietary
Context window8K tokens
MultimodalNo
Self-hostNo
Mistral Medium 3.1 (batch)PaidMistral AI
$0.2 /M input
$1 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalYes
Self-hostNo
Choose Mistral Medium 3.1 (batch) for the lower output price ($1/M vs $60/M). It also gives you the larger 131K context window.

GPT-4 vs Mistral Medium 3.1 (batch) specs

SpecGPT-4Mistral Medium 3.1 (batch)Winner
MakerOpenAIMistral AI
TypeProprietaryProprietary
Context window8K tokens131K tokensMistral Medium 3.1 (batch)
Input price$30/M$0.2/MMistral Medium 3.1 (batch)
Output price$60/M$1/MMistral Medium 3.1 (batch)
Vision / multimodalNoYesMistral Medium 3.1 (batch)
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

60×cheaper per output token

Mistral Medium 3.1 (batch) is ~60× cheaper than GPT-4 on output tokens ($1 vs $60 per M tokens).

Choose GPT-4 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Mistral Medium 3.1 (batch) if…
  • You want frontier performance through a managed API
  • You need the longer 131K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT-4Mistral Medium 3.1 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-4 vs Mistral Medium 3.1 (batch)

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

Mistral Medium 3.1 (batch) delivers 62× more intelligence per dollar.
GPT-4
Mistral Medium 3.1 (batch)
Intelligence index
6.7
9.9
Coding index
13.1
20.5
GPQA
34.9%
58.8%
MMLU-Pro
56.2%
68.3%
MATH-500
56.8%
IFBench
33.2%
39.8%
Math index
38.3
Humanity's Last Exam
4.7%
LiveCodeBench
40.6%
SciCode
32.4%
AIME 2025
38.3%
τ²-Bench
40.6%
τ-Bench Banking
8.2%
Terminal-Bench
13.9%
Terminal-Bench Hard
10.6%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
0.2
12.4

Benchmark data by Artificial Analysis.

How GPT-4 and Mistral Medium 3.1 (batch) score

🏆 Best value & openness: Mistral Medium 3.1 (batch) (3.1 vs 2.0 / 5)
CriterionGPT-4Mistral Medium 3.1 (batch)
Cost-efficiency2.04.5
Context window2.03.5
Openness1.51.5
Self-hosting1.01.0
Multimodality3.55.0

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

GPT-4 Paid

OpenAI · Proprietary

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

Mistral Medium 3.1 (batch) Paid

Mistral AI · Proprietary

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Frequently asked questions

GPT-4 vs Mistral Medium 3.1 (batch) — which is cheaper?

Mistral Medium 3.1 (batch) is cheaper on output ($1/M vs $60/M).

Which has the larger context window?

Mistral Medium 3.1 (batch) offers the larger context window (131K tokens).

GPT-4 vs Mistral Medium 3.1 (batch) — which should I pick in 2026?

Choose Mistral Medium 3.1 (batch) for the lower output price ($1/M vs $60/M). It also gives you the larger 131K context window.

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