AI Models · Paid vs Paid

GPT Chat Latest Paid vs Mistral Medium 3.1 (batch) Paid

GPT Chat Latest 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 Chat LatestPaidOpenAI
$5 /M input
$30 /M outputManaged API (no infra to run)
TypeProprietary
Context window400K tokens
MultimodalYes
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 $30/M). Choose GPT Chat Latest if you need the larger 400K context window.

GPT Chat Latest vs Mistral Medium 3.1 (batch) specs

SpecGPT Chat LatestMistral Medium 3.1 (batch)Winner
MakerOpenAIMistral AI
TypeProprietaryProprietary
Context window400K tokens131K tokensGPT Chat Latest
Input price$5/M$0.2/MMistral Medium 3.1 (batch)
Output price$30/M$1/MMistral Medium 3.1 (batch)
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

30×cheaper per output token

Mistral Medium 3.1 (batch) is ~30× cheaper than GPT Chat Latest on output tokens ($1 vs $30 per M tokens).

Choose GPT Chat Latest if…
  • You want frontier performance through a managed API
  • You need the longer 400K context window
  • 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 want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

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

Benchmarks: GPT Chat Latest vs Mistral Medium 3.1 (batch)

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

GPT Chat Latest
Mistral Medium 3.1 (batch)
Intelligence index
9.9
Coding index
20.5
Math index
38.3
GPQA
58.8%
MMLU-Pro
68.3%
Humanity's Last Exam
4.7%
LiveCodeBench
40.6%
SciCode
32.4%
AIME 2025
38.3%
IFBench
39.8%
τ²-Bench
40.6%
τ-Bench Banking
8.2%
Terminal-Bench
13.9%
Terminal-Bench Hard
10.6%
Speed
0 tok/s
Latency
0s
Intelligence per $
12.4

Benchmark data by Artificial Analysis.

How GPT Chat Latest and Mistral Medium 3.1 (batch) score

🤝 Neck and neck on these criteria (3.0 vs 3.1 / 5).
CriterionGPT Chat LatestMistral Medium 3.1 (batch)
Cost-efficiency3.04.5
Context window4.53.5
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

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 Chat Latest Paid

OpenAI · Proprietary

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...

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 Chat Latest vs Mistral Medium 3.1 (batch) — which is cheaper?

Mistral Medium 3.1 (batch) is cheaper on output ($1/M vs $30/M).

Which has the larger context window?

GPT Chat Latest offers the larger context window (400K tokens).

GPT Chat Latest 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 $30/M). Choose GPT Chat Latest if you need the larger 400K context window.

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