Qwen3.5 397B A17B vs FLUX.2 klein Base 4B FP8

At a Glance

Compare
FLUX.2 klein Base 4B FP8Black Forest Labs
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens262KNot reported
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

FieldQwen3.5-397B-A17BFLUX.2-klein-base-4b-fp8
DeveloperQwenBlack Forest Labs
FamilyQwen3 5 397b A17bFlux 2 Klein Base 4b Fp8
ModelQwen3.5-397B-A17BFLUX.2-klein-base-4b-fp8
VersionQwen3.5-397B-A17BFLUX.2-klein-base-4b-fp8
Lifecycleactiveactive
Released2026-02-152026-01-15
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageImage
Output modalitiesTextImage
Context window262KUnknown
Total parameters403.4B4B
Active parameters17BUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

FLUX.2 klein Base 4B FP8 Capabilities

generation
Serving providers0
Canonical IDblack-forest-labs/FLUX.2-klein-base-4b-fp8

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs FLUX.2 klein Base 4B FP8 FAQs

Is Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and FLUX.2 klein Base 4B FP8, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

Neither model has a larger sourced context window in this comparison. Qwen3.5 397B A17B is 262K and FLUX.2 klein Base 4B FP8 is —.

Which performs better in benchmarks, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

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

Can Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; FLUX.2 klein Base 4B FP8 is open weight.

Can Qwen3.5 397B A17B and FLUX.2 klein Base 4B FP8 understand images?+

Qwen3.5 397B A17B is documented with image input; FLUX.2 klein Base 4B FP8 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and FLUX.2 klein Base 4B FP8 is —.

Do Qwen3.5 397B A17B and FLUX.2 klein Base 4B FP8 support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. FLUX.2 klein Base 4B FP8: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

Qwen3.5 397B A17B has 4 sourced provider routes; FLUX.2 klein Base 4B FP8 has 0, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or FLUX.2 klein Base 4B FP8?+

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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