Model comparison
GLM 5.3 Flash vs GPT-6 Sol
Z.ai against OpenAI, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Z.ai
GLM 5.3 Flash
Balanced · Open weights
OpenAI
GPT-6 Sol
Balanced
| Specification | GLM 5.3 Flash | GPT-6 Sol |
|---|---|---|
| Provider | ||
| Provider | Z.ai | OpenAI |
| Tier | ||
| Tier | Balanced | Balanced |
| Context window | ||
| Context window | 1.05M | Winner: 1.05M |
| Max output | ||
| Max output | Winner: 131K | 128K |
| Input / 1M tokens | ||
| Input / 1M tokens | Winner: $0.15 | $2 |
| Output / 1M tokens | ||
| Output / 1M tokens | Winner: $0.50 | $10 |
| Weights | ||
| Weights | Open | Closed |
| Parameters | ||
| Parameters | 320B total / 18B active (MoE) | GPT-6 mid-price tier |
| Reasoning levels | ||
| Reasoning levels | Not verifiedUnverified | none, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image, video | text, image |
| License | ||
| License | MIT | Not disclosedUnverified |
| API model id | ||
| API model id | glm-5.3-flash | gpt-6-sol |
| Released | ||
| Released | August 26, 2026 | September 22, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 41.8 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | Not verifiedUnverified | 47.5 |
| SWE-bench Verified (2026-09-01) | ||
| SWE-bench Verified (2026-09-01) | 92 | Not verifiedUnverified |
| Terminal-Bench 2.1 (2026-08) | ||
| Terminal-Bench 2.1 (2026-08) | 84.3 | Not verifiedUnverified |
| DeepSWE 1.1 (2026-08) | ||
| DeepSWE 1.1 (2026-08) | 63.4 | Not verifiedUnverified |
| DeepSWE 1.1 [max] (2026-09-22) | ||
| DeepSWE 1.1 [max] (2026-09-22) | Not verifiedUnverified | 68.8 |
| Humanity's Last Exam (2026-08) | ||
| Humanity's Last Exam (2026-08) | 55.3 | Not verifiedUnverified |
| OSWorld 2.0 (offline) [xhigh] (2026-09-22) | ||
| OSWorld 2.0 (offline) [xhigh] (2026-09-22) | Not verifiedUnverified | 60.5 |
| Terminal-Bench 4.0 [max] (2026-09-26) | ||
| Terminal-Bench 4.0 [max] (2026-09-26) | Not verifiedUnverified | 43.9 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-22OpenAI — Introducing GPT-6 Sol and Luna (vendor)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- 2026-09-01vals.ai SWE-bench Verified leaderboard (independent, mini-swe-agent bash-only); not published by Z.ai
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- 2026-08Z.ai GLM-5.3-Flash blog (vendor, mini-swe-agent, 400K context)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- 2026-08GLM-5.3-Flash HF model card (vendor, with tools, full set)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
Pricing tiers
GLM 5.3 Flash: $0.15/$0.50 per MTok on Z.ai's first-party API (cached input $0.03); third-party hosts (GMI, Novita, Together) list the same $0.15/$0.50. No promo tier is listed. The faster GLM-5.3-FlashX costs $0.37/$1.25.
GPT-6 Sol: Replaces GPT-5.6 Sol at 50% of its $4/$20 promo price. Cached input $0.20/MTok; cache writes $2.50 (1.25x). Above 272K input the whole request bills $4/$15 ($0.40 cached). Batch/Flex $1/$5; Fast mode $4/$20. Knowledge cutoff Apr 20 2026. Launched in the API, ChatGPT Work and Codex the same day.
GLM 5.3 Flash
GLM 5.3 Flash is Z.ai's natively multimodal open-weight workhorse — 1M context, hybrid sparse/linear attention, near-flagship Intelligence Index at a fraction of the cost.
Best for
- Cost-efficient long-context
- Multimodal input
- Coding agents
Watch out
Self-hosting needs ~186GB GPU memory at 4-bit (multi-GPU). Third-party hosts charge more than Z.ai's own API.
GPT-6 Sol
GPT-6 Sol brings GPT-6 Astra's training advances to OpenAI's mid-priced tier — OpenAI claims roughly half GPT-5.6 Sol's factual-error rate at half its price, with a 1.05M-token context.
Best for
- Default OpenAI production model
- Agentic coding
- Long-context knowledge work
Watch out
Brand-new (2026-09-22): the DeepSWE figure is vendor-reported and it is not yet on the independent boards; long prompts above 272K bill $4/$15 for the whole request.
When the cheaper one wins
GLM 5.3 Flash is cheaper on output at $0.50 per million tokens against $10 for GPT-6 Sol — about 20×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: reasoning levels.
- 2 shared named benchmarks with differing scores — Measured on: Artificial Analysis Intelligence Index, DeepSWE 1.1.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- GLM 5.3 Flash: Z.ai — GLM-5.3-Flash announcement (accessed 2026-08-29)
- GLM 5.3 Flash: getdeploying — GLM-5.3-Flash reference (accessed 2026-08-29)
- GLM 5.3 Flash: GMI Cloud — GLM-5.3-Flash analysis (accessed 2026-08-29)
- GLM 5.3 Flash: Z.ai pricing (glm-5.3-flash $0.15/$0.50, cached $0.03) (accessed 2026-09-26)
- GPT-6 Sol: OpenAI — Introducing GPT-6 Sol and Luna (accessed 2026-09-26)
- GPT-6 Sol: OpenAI model docs — gpt-6-sol (1.05M context, 128K output) (accessed 2026-09-26)
- GPT-6 Sol: OpenAI API pricing (gpt-6-sol $2/$10, cached $0.20) (accessed 2026-09-26)
- GPT-6 Sol: OpenAI API changelog (Sep 22 2026) (accessed 2026-09-26)
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Diving deeper on one model? GLM 5.3 Flash · GPT-6 Sol
Common questions
GLM 5.3 Flash vs GPT-6 Sol
Answered from the verified figures on this page rather than general guidance.
Is GLM 5.3 Flash or GPT-6 Sol cheaper for input?
Is GLM 5.3 Flash or GPT-6 Sol cheaper for output?
Which has the larger context window, GLM 5.3 Flash or GPT-6 Sol?
Should I use GLM 5.3 Flash or GPT-6 Sol?
Can I self-host GLM 5.3 Flash or GPT-6 Sol?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: GLM 5.3 Flash costs $0.15 per 1M tokens versus $2 for GPT-6 Sol — a 13.3x difference at the headline tier.
- Context: GPT-6 Sol takes 1.05M against 1.05M for GLM 5.3 Flash — only decisive if your prompts approach the smaller window.
- Measured capability: GPT-6 Sol leads Artificial Analysis Intelligence Index 47.5 to 41.8 (measured 2026-09-26).
- Deployment: GLM 5.3 Flash publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.