Claude Sonnet 5 vs GLM 5.3
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Sonnet 5 | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | 7.48100% of row best · score · Claude Sonnet 5 (High); 95% CI [5.31247081, 9.65098366]; sessions 27467; observations 2696236; rank 8 | 3.8297% 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 | 1,442.9598% of row best · rating · claude-sonnet-5-high; 95% CI [1438.22001632, 1447.67497803]; votes 31096; rank 56 | 1,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winTied overall | 1 benchmark winTied overall |
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 | Claude Sonnet 5 | GLM-5.3 |
|---|---|---|
| Developer | Anthropic | Z.ai |
| Family | Claude 5 | Glm 5 3 |
| Model | Claude Sonnet 5 | GLM-5.3 |
| Version | Claude Sonnet 5 | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-06-30 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 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 | Anthropic (Standard), Deepinfra (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 · 7 material differences · Pair passes the primary-source comparison gate
Claude Sonnet 5 Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Claude Sonnet 4.6Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Sonnet 5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Sonnet 5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Sonnet 5Anthropic | vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Claude Sonnet 5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Sonnet 5Anthropic | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Sonnet 5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 5 vs GLM 5.3 FAQs
Is Claude Sonnet 5 or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 5 and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 5 or GLM 5.3?+
Claude Sonnet 5 is $2.00 and GLM 5.3 is $1.20 per million tokens, so GLM 5.3 is cheaper on this metric. Claude Sonnet 5 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, Claude Sonnet 5 or GLM 5.3?+
Neither model has a larger sourced context window in this comparison. Claude Sonnet 5 is 1,000K and GLM 5.3 is 1,000K.
Which performs better in benchmarks, Claude Sonnet 5 or GLM 5.3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Sonnet 5 or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 5 is not marked open weight; GLM 5.3 is not marked open weight.
Can Claude Sonnet 5 and GLM 5.3 understand images?+
Claude Sonnet 5 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, Claude Sonnet 5 or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: Claude Sonnet 5 supports 128K and GLM 5.3 supports 131K output tokens.
Do Claude Sonnet 5 and GLM 5.3 support reasoning and tool use?+
Claude Sonnet 5: 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, Claude Sonnet 5 or GLM 5.3?+
Claude Sonnet 5 has 3 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Claude Sonnet 5 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.