Claude Sonnet 4.6 vs GLM 5.3 Flash
At a Glance
| Compare | Claude Sonnet 4.6Anthropic | GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #24 of 4660.3 score · 3/3 sources · complete | #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 | #31 of 44$0.198 per LiveBench case | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #31 of 3847.3 score · 3/3 sources · complete | #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 | $3.00Anthropic ↗ · Sep 3, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $15.00Anthropic ↗ · Sep 3, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Sep 3, 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
| Benchmark | Claude Sonnet 4.6 | GLM-5.3-Flash |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -1.5297% of row best · score · Claude Sonnet 4.6; 95% CI [-2.63863180, -0.39612153]; sessions 39452; observations 1444102; rank 31 | 1.15100% of row best · score · GLM 5.3 Flash; 95% CI [0.48275443, 1.81278415]; sessions 43164; observations 4433017; rank 25 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,458.2699% of row best · rating · claude-sonnet-4-6; 95% CI [1454.67519650, 1461.85096774]; votes 66208; rank 35 | 1,471.89100% of row best · rating · glm-5.3-flash; 95% CI [1465.37026588, 1478.41920488]; votes 10038; rank 24 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,282.7299% of row best · rating · claude-sonnet-4-6; 95% CI [1276.36460283, 1289.07266013]; votes 25552; rank 27 | 1,298.71100% of row best · rating · glm-5.3-flash; 95% CI [1287.06707337, 1310.34654848]; votes 3110; rank 17 |
| LiveBench2026-06-25 · overall · leader | 77.11100% of row best · percent · claude-sonnet-4-6-thinking-auto-medium-effort · 13,226 output tokens / case | 73.2795% of row best · percent · glm-5.3-flash · 34,707 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 83.6395% of row best · points · Claude Sonnet 4.6 · 18,675 output tokens / case | 88.19100% of row best · points · GLM-5.3 Flash · 25,960 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark win | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Sonnet 4.6 | GLM-5.3-Flash |
|---|---|---|
| Developer | Anthropic | Z.ai |
| Family | Claude 4 | Glm 5 3 Flash |
| Model | Claude Sonnet 4.6 | GLM-5.3-Flash |
| Version | Claude Sonnet 4.6 | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2026-02-17 | 2026-09-02 |
| Knowledge cutoff | 2025-08-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Claude Sonnet 4.6 Capabilities
GLM 5.3 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.6 vs GLM 5.3 Flash FAQs
Is Claude Sonnet 4.6 or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 4.6 or GLM 5.3 Flash?+
Claude Sonnet 4.6 is $3.00 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. Claude Sonnet 4.6 is $15.00 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, Claude Sonnet 4.6 or GLM 5.3 Flash?+
Neither model has a larger sourced context window in this comparison. Claude Sonnet 4.6 is 1,000K and GLM 5.3 Flash is 1,000K.
Which performs better in benchmarks, Claude Sonnet 4.6 or GLM 5.3 Flash?+
GLM 5.3 Flash leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Claude Sonnet 4.6 or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.6 is not marked open weight; GLM 5.3 Flash is open weight.
Can Claude Sonnet 4.6 and GLM 5.3 Flash understand images?+
Claude Sonnet 4.6 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, Claude Sonnet 4.6 or GLM 5.3 Flash?+
GLM 5.3 Flash has the larger sourced maximum output: Claude Sonnet 4.6 supports 128K and GLM 5.3 Flash supports 131K output tokens.
Do Claude Sonnet 4.6 and GLM 5.3 Flash support reasoning and tool use?+
Claude Sonnet 4.6: reasoning, tool calling, and 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, Claude Sonnet 4.6 or GLM 5.3 Flash?+
Claude Sonnet 4.6 has 2 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, Claude Sonnet 4.6 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.