GPT-Image 2.5 Flare vs GLM 5.3 Flash
At a Glance
| Compare | GPT-Image 2.5 FlareOpenAI | GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Openai ↗ · Sep 9, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $30.00Openai ↗ · Sep 9, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Sep 9, 2026View model evidence → | Sep 2, 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 | GPT-Image-2.5 Flare | GLM-5.3-Flash |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Family | Gpt Image 2 5 | Glm 5 3 Flash |
| Model | GPT-Image-2.5 Flare | GLM-5.3-Flash |
| Version | GPT-Image-2.5 Flare | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2026-09-08 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Image | Text |
| Context window | Unknown | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | Unknown | Yes |
| API available | Yes | Yes |
| Self-hostable | Unknown | Yes |
| Provider access | Openai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | image-editing, image-generation, inpainting | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
| Default usage-tier rate limits | 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 | Unknown |
| Default snapshot | gpt-image-2.5-flare-2026-09-08 | Unknown |
| Model positioning | Fast, high-quality everyday image generation | Unknown |
| Quality settings | low, medium, high, xhigh, max, auto | Unknown |
| Supported API routes | v1/images/generations, v1/images/edits | Unknown |
| Unsupported API routes | 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 | Unknown |
GPT-Image 2.5 Flare Capabilities
GLM 5.3 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
GPT-Image 2.5 Flare vs GLM 5.3 Flash FAQs
Is GPT-Image 2.5 Flare or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-Image 2.5 Flare and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-Image 2.5 Flare or GLM 5.3 Flash?+
GPT-Image 2.5 Flare is $5.00 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. GPT-Image 2.5 Flare is $30.00 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.
Which has a larger context window, GPT-Image 2.5 Flare or GLM 5.3 Flash?+
Neither model has a larger sourced context window in this comparison. GPT-Image 2.5 Flare is — and GLM 5.3 Flash is 1,000K.
Which performs better in benchmarks, GPT-Image 2.5 Flare or GLM 5.3 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-Image 2.5 Flare or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is the only model in this pair currently marked as self-hostable. GPT-Image 2.5 Flare is of unknown open-weight status; GLM 5.3 Flash is open weight.
Can GPT-Image 2.5 Flare and GLM 5.3 Flash understand images?+
GPT-Image 2.5 Flare is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-Image 2.5 Flare or GLM 5.3 Flash?+
Neither has a larger sourced maximum output. GPT-Image 2.5 Flare is — and GLM 5.3 Flash is 131K.
Do GPT-Image 2.5 Flare and GLM 5.3 Flash support reasoning and tool use?+
GPT-Image 2.5 Flare: image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-Image 2.5 Flare or GLM 5.3 Flash?+
GPT-Image 2.5 Flare has 1 sourced provider route; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, GPT-Image 2.5 Flare or GLM 5.3 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.