DeepSeek V4 Pro 0813 vs Ternary Bonsai 2 27B

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#20 of 4665.0 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#20 of 44$0.094 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#14 of 3857.4 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.30Deepinfra · Sep 21, 2026$0.075Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$2.60Deepinfra · Sep 21, 2026$0.50Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K262K
Model facts checkedSep 3, 2026View model evidence →Sep 18, 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

FieldDeepSeek-V4-Pro-0813Ternary Bonsai 2 27B
DeveloperDeepSeekPrismML
FamilyDeepseek V4 ProBonsai 2
ModelDeepSeek-V4-Pro-0813Ternary Bonsai 2 27B
VersionDeepSeek-V4-Pro-0813Ternary Bonsai 2 27B
Lifecycleactiveactive
Released2026-08-132026-09-17
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window1,049K262K
Total parameters1.6T27.4B
Active parameters49BUnknown
Licensemitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Openrouter (Standard)
Capabilitiesagents, chat, coding, generation, reasoning, toolschat, generation, reasoning, tools, vision
Base modelUnknownQwen3.8 27B
Effective bit widthUnknown1.76 bits per weight
Language model sizeUnknown5.93 GB
Weight formatUnknownTernary g128 with FP16 group scales

DeepSeek V4 Pro 0813 Capabilities

agentschatcodinggenerationreasoningtools
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4-Pro-0813

Ternary Bonsai 2 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers1
Canonical IDprism-ml/Ternary-Bonsai-2-27B

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Pro 0813 vs Ternary Bonsai 2 27B FAQs

Is DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Ternary Bonsai 2 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

DeepSeek V4 Pro 0813 is $1.30 and Ternary Bonsai 2 27B is $0.075 per million tokens, so Ternary Bonsai 2 27B is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Ternary Bonsai 2 27B is $0.50 per million tokens, so Ternary Bonsai 2 27B is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Ternary Bonsai 2 27B supports 262K.

Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

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

Can DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Ternary Bonsai 2 27B is open weight.

Can DeepSeek V4 Pro 0813 and Ternary Bonsai 2 27B understand images?+

DeepSeek V4 Pro 0813 is not documented with image input; Ternary Bonsai 2 27B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Ternary Bonsai 2 27B is —.

Do DeepSeek V4 Pro 0813 and Ternary Bonsai 2 27B support reasoning and tool use?+

DeepSeek V4 Pro 0813: reasoning and tool calling. Ternary Bonsai 2 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

DeepSeek V4 Pro 0813 has 3 sourced provider routes; Ternary Bonsai 2 27B has 1, so DeepSeek V4 Pro 0813 has broader tracked availability.

Which offers better value, DeepSeek V4 Pro 0813 or Ternary Bonsai 2 27B?+

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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