AI Models · Open-Source vs Paid

Mistral Medium 3.5 (batch) Open vs MAWeaver (alpha) Paid

Mistral Medium 3.5 (batch) vs Weaver (alpha) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? 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 Medium 3.5 (batch)OpenMistral AI
$0.75 /M input
$3.75 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window262K tokens
MultimodalYes
Self-hostYes
MAWeaver (alpha)PaidMancer
$0.4 /M input
$0.75 /M outputManaged API (no infra to run)
TypeProprietary
Context window8K tokens
MultimodalNo
Self-hostNo
Choose Mistral Medium 3.5 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Weaver (alpha) if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Medium 3.5 (batch) vs Weaver (alpha) specs

SpecMistral Medium 3.5 (batch)Weaver (alpha)Winner
MakerMistral AIMancer–
TypeOpen-weightProprietaryMistral Medium 3.5 (batch)
Context window262K tokens8K tokensMistral Medium 3.5 (batch)
Input price$0.75/M · free self-host$0.4/MMAWeaver (alpha)
Output price$3.75/M · free self-host$0.75/MMAWeaver (alpha)
Vision / multimodalYesNoMistral Medium 3.5 (batch)
Tool / function callingYesNoMistral Medium 3.5 (batch)
Self-hostableYesNo (API only)Mistral Medium 3.5 (batch)
LicenseApache 2.0ProprietaryMistral Medium 3.5 (batch)

Price gap & when to choose each

5.0×cheaper per output token

Weaver (alpha) is ~5.0× cheaper than Mistral Medium 3.5 (batch) on output tokens ($0.75 vs $3.75 per M tokens).

Choose Mistral Medium 3.5 (batch) if…
  • You want to self-host or run on your cloud
  • You need the longer 262K context window
  • You prioritize data privacy & control
  • You are building open or reproducible AI
MAChoose Weaver (alpha) 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

CapabilityMistral Medium 3.5 (batch)Weaver (alpha)
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✗
Tool / function calling✓✗
1M+ context window✗✗

Benchmarks: Mistral Medium 3.5 (batch) vs Weaver (alpha)

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

Mistral Medium 3.5 (batch)
Weaver (alpha)
Intelligence index
14.2
–
Coding index
46.9
–
GPQA
74.8%
–
Humanity's Last Exam
13.8%
–
Long Context Reasoning
69.3%
–
SciCode
40.2%
–
IFBench
68.8%
–
τ²-Bench
94.2%
–
τ-Bench Banking
15.1%
–
Terminal-Bench
50.6%
–
Terminal-Bench Hard
33.3%
–
Speed
174.8 tok/s
–
Latency
0.61s
–
Intelligence per $
4.7
–

Benchmark data by Artificial Analysis.

How Mistral Medium 3.5 (batch) and Weaver (alpha) score

🏆 Best value & openness: Mistral Medium 3.5 (batch) (4.6 vs 2.3 / 5)
CriterionMistral Medium 3.5 (batch)Weaver (alpha)
Cost-efficiency4.05.0
Context window4.02.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.02.0

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 Medium 3.5 (batch) Open

Mistral AI · Open-weight

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

Weaver (alpha) Paid

Mancer · Proprietary

An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.

Other models in these families

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

Other variants tracked
Mistral Large 4Mistral Medium 3.5Mistral Small 4Mistral Large 3 2512Mistral Medium 3.1Mistral Medium 3Devstral 2 2512Mistral Small 3.1 24BMistral Small 3.2 24BMistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 14B 2512Mixtral 8x22B InstructMinistral 3 8B 2512Ministral 3 3B 2512UncensoredCodestral 2508Voxtral Small 24B 2507Mistral Nemo

Frequently asked questions

Is Mistral Medium 3.5 (batch) as good as Weaver (alpha)?

Mistral Medium 3.5 (batch) is open-weight and competitive on many tasks, but Weaver (alpha) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Mistral Medium 3.5 (batch) locally?

Yes. Mistral Medium 3.5 (batch) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Weaver (alpha) is API-only and cannot be self-hosted.

Mistral Medium 3.5 (batch) vs Weaver (alpha) — which should I pick in 2026?

Choose Mistral Medium 3.5 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Weaver (alpha) if you want frontier capability through a managed API with zero infrastructure to run.

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