Qwen3.5 35B A3B vs GPT-Image 2.5 Flare
At a Glance
| Compare |  Qwen3.5 35B A3BQwen |  GPT-Image 2.5 FlareOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.14Deepinfra ↗ · Sep 22, 2026 | $5.00Openai ↗ · Sep 9, 2026 |
| Output priceFrom · USD / 1M tokens | $1.00Deepinfra ↗ · Sep 22, 2026 | $30.00Openai ↗ · Sep 9, 2026 |
| Context windowMaximum documented tokens | 262K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 9, 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
Side-by-Side Facts
| Field | Qwen3.5-35B-A3B | GPT-Image-2.5 Flare |
|---|---|---|
| Developer | Qwen | OpenAI |
| Family | Qwen3 5 35b A3b | Gpt Image 2 5 |
| Model | Qwen3.5-35B-A3B | GPT-Image-2.5 Flare |
| Version | Qwen3.5-35B-A3B | GPT-Image-2.5 Flare |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-08 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Image |
| Context window | 262K | Unknown |
| Total parameters | 36B | Unknown |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | Unknown |
| API available | Yes | Yes |
| Self-hostable | Yes | Unknown |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard) |
| Capabilities | chat, generation, reasoning, tools | image-editing, image-generation, inpainting |
| Default usage-tier rate limits | Unknown | Tier 1: 100,000 TPM, 5 IPM, Tier 2: 250,000 TPM, 20 IPM, Tier 3: 800,000 TPM, 50 IPM, Tier 4: 3,000,000 TPM, 150 IPM, Tier 5: 8,000,000 TPM, 250 IPM |
| Default snapshot | Unknown | gpt-image-2.5-flare-2026-09-08 |
| Model positioning | Unknown | Fast, high-quality everyday image generation |
| Quality settings | Unknown | low, medium, high, xhigh, max, auto |
| Supported API routes | Unknown | v1/images/generations, v1/images/edits |
| Unsupported API routes | Unknown | v1/assistants, v1/audio/speech, v1/audio/transcriptions, v1/audio/translations, v1/batch, v1/chat/completions, v1/completions, v1/embeddings, v1/fine-tuning, v1/moderations, v1/realtime, v1/realtime/transcription_sessions, v1/realtime/translations, v1/responses, v1/videos |
Qwen3.5 35B A3B Capabilities
GPT-Image 2.5 Flare Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.5-35B-A3BQwen | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Qwen3.5-35B-A3BQwen | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Grok 4.6xAI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text |
Qwen3.5-35B-A3BQwen | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Qwen3.5-35B-A3BQwen | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Qwen3.5-35B-A3BQwen | vs |  Hy4 previewTencent | cross-developer peerstext |
Qwen3.5-35B-A3BQwen | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B vs GPT-Image 2.5 Flare FAQs
Is Qwen3.5 35B A3B or GPT-Image 2.5 Flare better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B and GPT-Image 2.5 Flare, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
Qwen3.5 35B A3B is $0.14 and GPT-Image 2.5 Flare is $5.00 per million tokens, so Qwen3.5 35B A3B is cheaper on this metric. Qwen3.5 35B A3B is $1.00 and GPT-Image 2.5 Flare is $30.00 per million tokens, so Qwen3.5 35B A3B is cheaper on this metric.
Which has a larger context window, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
Neither model has a larger sourced context window in this comparison. Qwen3.5 35B A3B is 262K and GPT-Image 2.5 Flare is —.
Which performs better in benchmarks, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 35B A3B or GPT-Image 2.5 Flare be self-hosted?+
Qwen3.5 35B A3B is the only model in this pair currently marked as self-hostable. Qwen3.5 35B A3B is open weight; GPT-Image 2.5 Flare is of unknown open-weight status.
Can Qwen3.5 35B A3B and GPT-Image 2.5 Flare understand images?+
Qwen3.5 35B A3B is documented with image input; GPT-Image 2.5 Flare is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
Neither has a larger sourced maximum output. Qwen3.5 35B A3B is — and GPT-Image 2.5 Flare is —.
Do Qwen3.5 35B A3B and GPT-Image 2.5 Flare support reasoning and tool use?+
Qwen3.5 35B A3B: reasoning, tool calling, and image input. GPT-Image 2.5 Flare: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
Qwen3.5 35B A3B has 4 sourced provider routes; GPT-Image 2.5 Flare has 1, so Qwen3.5 35B A3B has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B or GPT-Image 2.5 Flare?+
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.