Claude Sonnet 5 vs GPT-5.6 Terra
At a Glance
| Compare | Claude Sonnet 5Anthropic |  GPT-5.6 TerraOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #18 of 5763.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 42.1–75.4 | #10 of 5777.3 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #20 of 27$0.194 per LiveBench case | #23 of 27$0.266 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #21 of 2743.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.0–49.6 | #16 of 2748.0 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Anthropic ↗ · Sep 3, 2026 | $2.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 3, 2026 | $12.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,050K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 5 | GPT-5.6 Terra |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-0ebb411abf00 · arena_rating · statistical tie | 1,466.14100% of row best · rating · claude-sonnet-5-high; 95% CI [1458.49407458, 1473.77896309]; votes 7411; rank 17 | 1,471.58100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1463.31179298, 1479.85049651]; votes 5787; rank 13 |
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · statistical tie | 1,442.12100% of row best · rating · claude-sonnet-5-high; 95% CI [1438.01344792, 1446.22951308]; votes 49595; rank 72 | 1,447.39100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1443.15823569, 1451.62460535]; votes 43271; rank 58 |
| LMArena Vision Arenavision-2026-10-09-0ebb411abf00 · arena_rating · statistical tie | 1,273.92100% of row best · rating · claude-sonnet-5-high; 95% CI [1267.02186706, 1280.81063637]; votes 13503; rank 41 | 1,271.07100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1263.65540928, 1278.48964371]; votes 11020; rank 43 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 80.0197% of row best · percent · claude-sonnet-5-xhigh-effort · 19,428 output tokens / case | 82.31100% of row best · percent · gpt-5.6-terra-max · 22,145 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 79.2197% of row best · points · Claude Sonnet 5 (max effort) · 66,953 output tokens / case | 81.40100% of row best · points · GPT-5.6 Terra (ultra) · 20,718 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 3 ties | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Quality Versus Estimated Output Cost
Side-by-Side Facts
| Field | Claude Sonnet 5 | GPT-5.6 Terra |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Family | Claude 5 | Gpt 5 6 |
| Model | Claude Sonnet 5 | GPT-5.6 Terra |
| Version | Claude Sonnet 5 | GPT-5.6 Terra |
| Lifecycle | active | active |
| Released | 2026-06-30 | Unknown |
| Knowledge cutoff | Unknown | 2026-02-16 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,050K |
| 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) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Claude Sonnet 5 Capabilities
GPT-5.6 Terra Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Sonnet 4.6Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Mythos 5.1Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Sonnet 4.5Anthropic | vs | Claude Sonnet 5Anthropic | family variantsimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5 MiniOpenAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5 NanoOpenAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5.4OpenAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5.4 ProOpenAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs |  Qwen3.7 FlashQwen | cross-developer peersimage, text |
Claude Sonnet 5Anthropic | vs | Grok 4.3xAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 5 vs GPT-5.6 Terra FAQs
Is Claude Sonnet 5 or GPT-5.6 Terra better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 5 and GPT-5.6 Terra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 5 or GPT-5.6 Terra?+
Claude Sonnet 5 is $2.00 and GPT-5.6 Terra is $2.00 per million tokens, so they are tied on this metric. Claude Sonnet 5 is $10.00 and GPT-5.6 Terra is $12.00 per million tokens, so Claude Sonnet 5 is cheaper on this metric.
Which has a larger context window, Claude Sonnet 5 or GPT-5.6 Terra?+
GPT-5.6 Terra has the larger sourced context window. Claude Sonnet 5 supports 1,000,000 tokens and GPT-5.6 Terra supports 1,050,000 tokens.
Which performs better in benchmarks, Claude Sonnet 5 or GPT-5.6 Terra?+
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 GPT-5.6 Terra be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Claude Sonnet 5 is not marked open weight; GPT-5.6 Terra is not marked open weight.
Can Claude Sonnet 5 and GPT-5.6 Terra understand images?+
Claude Sonnet 5 is documented with image input; GPT-5.6 Terra is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Sonnet 5 or GPT-5.6 Terra?+
Both models have the same sourced maximum output: 128,000 tokens each.
Do Claude Sonnet 5 and GPT-5.6 Terra support reasoning and tool use?+
Claude Sonnet 5: reasoning, tool calling, and image input. GPT-5.6 Terra: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Sonnet 5 or GPT-5.6 Terra?+
Claude Sonnet 5 has 3 sourced provider routes; GPT-5.6 Terra has 2, so Claude Sonnet 5 has broader tracked availability.
Which offers better value, Claude Sonnet 5 or GPT-5.6 Terra?+
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.