GPT-5 Nano vs Qwen3 Coder Flash

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#46 of 460.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 0.0–33.3UnrankedNot in the 46-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.025Openrouter · Sep 3, 2026$0.195Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$0.20Openrouter · Sep 3, 2026$0.975Openrouter · Sep 22, 2026
Context windowMaximum documented tokens400K1,000K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 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

FieldGPT-5 NanoQwen3 Coder Flash
DeveloperOpenAIQwen
FamilyGpt 5Qwen3 Coder
ModelGPT-5 NanoQwen3 Coder Flash
VersionGPT-5 NanoQwen3 Coder Flash
Lifecycleactiveactive
Released2025-08-072025-07-28
Knowledge cutoff2024-05-31Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window400K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Alibaba Cloud Model Studio (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, generation, reasoning, structured_outputs, tools

GPT-5 Nano Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5-nano

Qwen3 Coder Flash Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDqwen/qwen3-coder-flash

Primary Evidence

Sources and Freshness

Questions

GPT-5 Nano vs Qwen3 Coder Flash FAQs

Is GPT-5 Nano or Qwen3 Coder Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 Nano and Qwen3 Coder Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5 Nano or Qwen3 Coder Flash?+

GPT-5 Nano is $0.025 and Qwen3 Coder Flash is $0.195 per million tokens, so GPT-5 Nano is cheaper on this metric. GPT-5 Nano is $0.20 and Qwen3 Coder Flash is $0.975 per million tokens, so GPT-5 Nano is cheaper on this metric.

Which has a larger context window, GPT-5 Nano or Qwen3 Coder Flash?+

Qwen3 Coder Flash has the larger sourced context window. GPT-5 Nano supports 400K and Qwen3 Coder Flash supports 1,000K.

Which performs better in benchmarks, GPT-5 Nano or Qwen3 Coder Flash?+

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

Can GPT-5 Nano or Qwen3 Coder Flash be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5 Nano is not marked open weight; Qwen3 Coder Flash is not marked open weight.

Can GPT-5 Nano and Qwen3 Coder Flash understand images?+

GPT-5 Nano is documented with image input; Qwen3 Coder Flash is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5 Nano or Qwen3 Coder Flash?+

Neither has a larger sourced maximum output. GPT-5 Nano is 128K and Qwen3 Coder Flash is —.

Do GPT-5 Nano and Qwen3 Coder Flash support reasoning and tool use?+

GPT-5 Nano: reasoning, tool calling, and image input. Qwen3 Coder Flash: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5 Nano or Qwen3 Coder Flash?+

GPT-5 Nano has 2 sourced provider routes; Qwen3 Coder Flash has 2, a tie.

Which offers better value, GPT-5 Nano or Qwen3 Coder Flash?+

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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