MolmoWeb 4B vs Mistral Large 3

At a Glance

Compare
Mistral Large 3Mistral AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4UnrankedNot in the 57-model eligible cohort#28 of 5743.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 14.3–81.0
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.25Openrouter ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokensNot reported$0.75Openrouter ↗ · Oct 19, 2026
Context windowMaximum documented tokens10K262K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMolmoWeb 4BMistral Large 3
DeveloperAi2Mistral AI
FamilyMolmowebMistral Large 3
ModelMolmoWeb 4BMistral Large 3
VersionMolmoWeb 4BMistral Large 3
Lifecycleactiveactive
Released2026-03-202025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Document
Output modalitiesTextText
Context window10K262K
Total parameters4.9B675B
Active parametersUnknown41B
Licenseapache-2.0Apache-2.0
Open weightsYesYes
API availableNoYes
Self-hostableYesYes
Provider accessUnknownMistral AI (Standard), Openrouter (Standard)
Capabilitieschat, computer-use, generation, tools, visionagents, chat, generation, structured_outputs, tools, vision

MolmoWeb 4B Capabilities

chatcomputer-usegenerationtoolsvision
Serving providers0
Canonical IDallenai/MolmoWeb-4B

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Serving providers2
Canonical IDmistralai/mistral-large-2512

Primary Evidence

Sources and Freshness

Questions

MolmoWeb 4B vs Mistral Large 3 FAQs

Is MolmoWeb 4B or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoWeb 4B and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoWeb 4B or Mistral Large 3?+

Only Mistral Large 3 has a directly sourced input price: $0.25 per million tokens. Only Mistral Large 3 has a directly sourced output price: $0.75 per million tokens.

Which has a larger context window, MolmoWeb 4B or Mistral Large 3?+

Mistral Large 3 has the larger sourced context window. MolmoWeb 4B supports 10,240 tokens and Mistral Large 3 supports 262,144 tokens.

Which performs better in benchmarks, MolmoWeb 4B or Mistral Large 3?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can MolmoWeb 4B or Mistral Large 3 be self-hosted?+

Both models have the same sourced self-hosting status: supported. MolmoWeb 4B is open weight; Mistral Large 3 is open weight.

Can MolmoWeb 4B and Mistral Large 3 understand images?+

MolmoWeb 4B is documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoWeb 4B or Mistral Large 3?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do MolmoWeb 4B and Mistral Large 3 support reasoning and tool use?+

MolmoWeb 4B: tool calling and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoWeb 4B or Mistral Large 3?+

MolmoWeb 4B has 0 sourced provider routes; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.

Which offers better value, MolmoWeb 4B or Mistral Large 3?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

Send Feedback