Llama 3.1 8B vs Devstral 2 123B Instruct 2512

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.44Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$2.20Openrouter · Aug 29, 2026
Context windowMaximum documented tokens131K262K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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

FieldLlama-3.1-8BDevstral-2-123B-Instruct-2512
DeveloperMetaMistral AI
FamilyLlama 3 1 8bDevstral 2 123b Instruct 2512
ModelLlama-3.1-8BDevstral-2-123B-Instruct-2512
VersionLlama-3.1-8BDevstral-2-123B-Instruct-2512
Lifecycleactiveactive
Released2024-07-23Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K262K
Total parameters8B125B
Active parametersUnknownUnknown
Licensellama3.1other
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard)Openrouter (Standard)
Capabilitiesgenerationchat, generation, tools

Llama 3.1 8B Capabilities

generation
Serving providers1
Canonical IDmeta-llama/Llama-3.1-8B

Devstral 2 123B Instruct 2512 Capabilities

chatgenerationtools
Serving providers1
Canonical IDmistralai/Devstral-2-123B-Instruct-2512

Primary Evidence

Sources and Freshness

Questions

Llama 3.1 8B vs Devstral 2 123B Instruct 2512 FAQs

Is Llama 3.1 8B or Devstral 2 123B Instruct 2512 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B and Devstral 2 123B Instruct 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

Only Devstral 2 123B Instruct 2512 has a directly sourced input price: $0.44 per million tokens. Only Devstral 2 123B Instruct 2512 has a directly sourced output price: $2.20 per million tokens.

Which has a larger context window, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

Devstral 2 123B Instruct 2512 has the larger sourced context window. Llama 3.1 8B supports 131K and Devstral 2 123B Instruct 2512 supports 262K.

Which performs better in benchmarks, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

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

Can Llama 3.1 8B or Devstral 2 123B Instruct 2512 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Llama 3.1 8B is open weight; Devstral 2 123B Instruct 2512 is open weight.

Can Llama 3.1 8B and Devstral 2 123B Instruct 2512 understand images?+

Llama 3.1 8B is not documented with image input; Devstral 2 123B Instruct 2512 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

Neither has a larger sourced maximum output. Llama 3.1 8B is — and Devstral 2 123B Instruct 2512 is —.

Do Llama 3.1 8B and Devstral 2 123B Instruct 2512 support reasoning and tool use?+

Llama 3.1 8B: none of these features are definitively sourced. Devstral 2 123B Instruct 2512: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

Llama 3.1 8B has 1 sourced provider route; Devstral 2 123B Instruct 2512 has 1, a tie.

Which offers better value, Llama 3.1 8B or Devstral 2 123B Instruct 2512?+

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.

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