GPT-5.6 Sol vs GLM 5.3
Market Position
LiveBench Quality Versus Estimated Output Cost
This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | GPT-5.6 Sol | GLM-5.3 |
|---|---|---|
| CostLower is better · Published-token output estimate | #20 of 36$0.117 per LiveBench case | #28 of 36$0.248 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | GPT-5.6 Sol | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | 9.76100% of row best · score · GPT 5.6 Sol (xHigh); 95% CI [8.23209281, 11.28769899]; sessions 28524; observations 2917301; rank 4 | 3.8295% of row best · score · GLM 5.3 (Max); 95% CI [3.01733683, 4.62585790]; sessions 41022; observations 2958163; rank 20 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,454.6999% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1449.58093424, 1459.80348090]; votes 23153; rank 35 | 1,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| LiveBench2026-06-25 · overall · leader | 85.26100% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case | 79.1593% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 1 benchmark win |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | GPT-5.6 Sol | GLM-5.3 |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Family | Gpt 5 6 | Glm 5 3 |
| Model | GPT-5.6 Sol | GLM-5.3 |
| Version | GPT-5.6 Sol | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2026-02-16 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,050K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
GPT-5.6 Sol Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
GPT-5.6 Sol vs GLM 5.3 FAQs
Is GPT-5.6 Sol or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Sol and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Sol or GLM 5.3?+
GPT-5.6 Sol is $2.00 and GLM 5.3 is $1.20 per million tokens, so GLM 5.3 is cheaper on this metric. GPT-5.6 Sol is $10.00 and GLM 5.3 is $4.00 per million tokens, so GLM 5.3 is cheaper on this metric.
Which has a larger context window, GPT-5.6 Sol or GLM 5.3?+
GPT-5.6 Sol has the larger sourced context window. GPT-5.6 Sol supports 1,050K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, GPT-5.6 Sol or GLM 5.3?+
GPT-5.6 Sol leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can GPT-5.6 Sol or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.6 Sol is not marked open weight; GLM 5.3 is not marked open weight.
Can GPT-5.6 Sol and GLM 5.3 understand images?+
GPT-5.6 Sol is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.6 Sol or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: GPT-5.6 Sol supports 128K and GLM 5.3 supports 131K output tokens.
Do GPT-5.6 Sol and GLM 5.3 support reasoning and tool use?+
GPT-5.6 Sol: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.6 Sol or GLM 5.3?+
GPT-5.6 Sol has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, GPT-5.6 Sol or GLM 5.3?+
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.